Wolfram Research: Difference between revisions

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Adding the Innovator awards and the past winners
→‎Innovator Awards: Linking various items to appropriate wiki pages
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! Year Awarded !! Innovator !! Organization !! Recognized for !! Areas of Concentration
! Year Awarded !! Innovator !! Organization !! Recognized for !! Areas of Concentration
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| 2018 || Nassim Nicholas Taleb || [[New York University Tandon School of Engineering]] || Nassim Nicholas Taleb spent 21 years as a risk taker (quantitative trader) before becoming a researcher in philosophical, mathematical and (mostly) practical problems with probability. Taleb is the author of a multivolume essay, the Incerto (The Black Swan, Fooled by Randomness, Antifragile, and Skin in the Game) covering broad facets of uncertainty. It has been translated into 36 languages. In addition to his trader life, Taleb has also written, as a backup of the Incerto, more than 50 scholarly papers in statistical physics, statistics, philosophy, ethics, economics, international affairs, and quantitative finance, all around the notion of risk and probability. Taleb is currently Distinguished Professor of Risk Engineering at NYU's Tandon School of Engineering where his current focus is on the properties of systems that can handle disorder. ||
| 2018 || [[Nassim Nicholas Taleb]] || [[New York University Tandon School of Engineering]] || Nassim Nicholas Taleb spent 21 years as a risk taker (quantitative trader) before becoming a researcher in philosophical, mathematical and (mostly) practical problems with probability. Taleb is the author of a multivolume essay, the Incerto (The Black Swan, Fooled by Randomness, Antifragile, and Skin in the Game) covering broad facets of uncertainty. It has been translated into 36 languages. In addition to his trader life, Taleb has also written, as a backup of the Incerto, more than 50 scholarly papers in [[statistical physics]], [[statistics]], [[philosophy]], ethics, [[economics]], [[International relations|international affairs]], and [[Mathematical finance|quantitative finance]], all around the notion of risk and probability. Taleb is currently Distinguished Professor of Risk Engineering at NYU's Tandon School of Engineering where his current focus is on the properties of systems that can handle disorder. ||
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| 2018 || Neil Singer || AC Kinetics, Inc. || Neil Singer formed Convolve Inc. in 1989. It was a company that spun off from research he had been doing at MiT, aimed at reducing vibrations in electric machines. In 2013 he went on to form AC Kinetics, a company which specializes in reducing electrical motor energy consumption and enhancing their performance and has been using SystemModeler and Mathematica to achieve this. Using Mathematica and SystemModeler, AC Kinetics are able to verify their real digital motor controllers in a simulated environment. In some applications, they have used this workflow to achieve as high energy savings as half of the total energy. They report that with their workflow using SystemModeler and Mathematica of simulated verification and testing they have achieved significant time savings over conventional approaches to controller design. ||
| 2018 || Neil Singer || AC Kinetics, Inc. || Neil Singer formed Convolve Inc. in 1989. It was a company that spun off from research he had been doing at [[Massachusetts Institute of Technology|MIT]], aimed at reducing vibrations in electric machines. In 2013 he went on to form AC Kinetics, a company which specializes in reducing electrical motor energy consumption and enhancing their performance and has been using [[Wolfram SystemModeler|SystemModeler]] and [[Wolfram Mathematica|Mathematica]] to achieve this. Using Mathematica and SystemModeler, AC Kinetics are able to verify their real digital motor controllers in a simulated environment. In some applications, they have used this workflow to achieve as high energy savings as half of the total energy. They report that with their workflow using SystemModeler and Mathematica of simulated verification and testing they have achieved significant time savings over conventional approaches to controller design. ||
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| 2018 || Aaron Santos || EMC Insurance || Aaron Santos started using the Wolfram Language in 1999 as a sophomore in MIT's J-term mechanics course. Even in that early version, Aaron could see the language was fundamentally different than others. If he wanted to do anything substantial in C or Java, it was going to take hours of coding or searching through libraries/packages that may or may not be relevant. Wolfram Language was also integral to his graduate work as a postdoc. The insurance industry is undergoing a revolution in technology because of big data and IoT devices. Aaron uses the Wolfram Language partly because it's highly automated, so it's great for rapid prototyping and modeling, but also because the Wolfram Language allows their company to easily step outside the traditional data science box and explore more innovative solutions to problems. Aaron is currently part of a 3-man startup company that has created a nanotechnology device capable of determining genetic makeup of a product (i.e. corn) within 10 minutes, whereas the industry standard is presently about 50-60 minutes per sample. They are patent-pending and have produced both a methodology as well as a device for executing said methodology. ||
| 2018 || Aaron Santos || EMC Insurance || Aaron Santos started using the [[Wolfram Language]] in 1999 as a sophomore in [[Massachusetts Institute of Technology|MIT's]] J-term mechanics course. Even in that early version, Aaron could see the language was fundamentally different than others. If he wanted to do anything substantial in [[C (programming language)|C]] or [[Java (programming language)|Java]], it was going to take hours of coding or searching through libraries/packages that may or may not be relevant. Wolfram Language was also integral to his graduate work as a postdoc. The insurance industry is undergoing a revolution in technology because of big data and IoT devices. Aaron uses the Wolfram Language partly because it's highly automated, so it's great for rapid prototyping and modeling, but also because the Wolfram Language allows their company to easily step outside the traditional data science box and explore more innovative solutions to problems. Aaron is currently part of a 3-man startup company that has created a [[nanotechnology]] device capable of determining genetic makeup of a product (i.e. corn) within 10 minutes, whereas the industry standard is presently about 50-60 minutes per sample. They are patent-pending and have produced both a methodology as well as a device for executing said methodology. ||
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| 2018 || Jorge Ramirez || [[National University of Colombia]] || Jorge Ramirez is an Applied Mathematician with special interest in the natural sciences. He is currently the lead researcher working on several research and educational projects where Mathematica is a key tool. Those projects include Pattern formation in ant colonies by tropotaxis, Nonlinear transport in breaking oceanic waves, invariant distribution of runoff in watersheds under stationary rainfall, and Glucose level predictions for Type 1 diabetics patients. Further, Jorge is the coordinator of the differential calculus class on his campus, which involves teaching and testing 1700 students divided in 24 sections. ||
| 2018 || Jorge Ramirez || [[National University of Colombia]] || Jorge Ramirez is an [[Applied mathematics|Applied Mathematician]] with special interest in the [[Natural science|natural sciences]]. He is currently the lead researcher working on several research and educational projects where [[Wolfram Mathematica|Mathematica]] is a key tool. Those projects include Pattern formation in ant colonies by tropotaxis, Nonlinear transport in breaking oceanic waves, invariant distribution of runoff in watersheds under stationary rainfall, and Glucose level predictions for Type 1 diabetics patients. Further, Jorge is the coordinator of the [[differential calculus]] class on his campus, which involves teaching and testing 1700 students divided in 24 sections. ||
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| 2018 || Nicholas Mecholsky || [[Catholic University of America]] & Vitreous State Laboratory || Nicholas Mecholsky uses Mathematica for Database Processing and Data Mining. In Hanford, Washington--there is 53 million gallons of High Level waste Stored in 177 tanks, and 200 miles square miles of contaminated groundwater. The goal is to vitrify nuclear waste to change into glass. The liquid form is a huge problem since the sludge separates and the concrete and steel barriers degrade much faster than the radioactive material lasts. Nicholas uses Mathematica to arrange all the tanks of different additives and mix them to find the optimization of additives to make the glass. This is the largest nuclear waste Vitrification Pilot program in the world. As a result, they have created new compositions, tested the different attributes, and built predictive models. Currently they make new glasses and test them, then update model, and repeat. Part of the success they have had is predicting a particular type of crystal structure form called "Nephylene", and the models to identify it. The crystal creates problems in the Glass so that the Nephylene does not exist. Knowing whether or not it is happening is very important, and Mathematica is used to model this. Through the use of Mathematica, they will be starting the Vitrifying process in Hanford, Washington in 2024. ||
| 2018 || Nicholas Mecholsky || [[Catholic University of America]] & Vitreous State Laboratory || Nicholas Mecholsky uses [[Wolfram Mathematica|Mathematica]] for Database Processing and [[Data Mining]]. In [[Hanford, Washington]]--there is 53 million gallons of High Level waste Stored in 177 tanks, and 200 miles square miles of contaminated groundwater. The goal is to vitrify nuclear waste to change into glass. The liquid form is a huge problem since the sludge separates and the concrete and steel barriers degrade much faster than the radioactive material lasts. Nicholas uses Mathematica to arrange all the tanks of different additives and mix them to find the optimization of additives to make the glass. This is the largest nuclear waste [[Vitrification]] Pilot program in the world. As a result, they have created new compositions, tested the different attributes, and built predictive models. Currently they make new glasses and test them, then update model, and repeat. Part of the success they have had is predicting a particular type of crystal structure form called "Nephylene", and the models to identify it. The crystal creates problems in the Glass so that the Nephylene does not exist. Knowing whether or not it is happening is very important, and Mathematica is used to model this. Through the use of Mathematica, they will be starting the Vitrifying process in Hanford, Washington in 2024. ||
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| 2018 || David Creech || [[McDermott International]] || David Creech is a Licensed Professional Engineer with 20 years experience leading research and development, engineering services groups, business development, project management, and execution of a wide range of highly-technical engineering projects. One of the challenges his company faced was a catalog of hundreds of in-house FOTRAN and Excel programs for performing engineering calculations on the company's specialized products. The programs needed to be updated to comply with changes in industry standards and offer better usability. At the same time, David wanted to make these calculations more accessible to the engineers and to allow them to customize and recombine them to make innovation easy. He started a large initiative to replace their most critical calculations with Mathematica packages. Since 2012, they've had up to a dozen engineers and developers working on specifications, development, validation and documentation. They know have a very large system of packages, with hundreds of thousands of lines of MMA code and thousands of pages of documentation. Of particular importance to David, they are now reaching a critical point in both code base and user experience where their users are moving their own calculations to Mathematica and combining them with their packages to make new tools for engineering their products more efficiently. ||
| 2018 || David Creech || [[McDermott International]] || David Creech is a Licensed Professional Engineer with 20 years experience leading research and development, engineering services groups, business development, project management, and execution of a wide range of highly-technical engineering projects. One of the challenges his company faced was a catalog of hundreds of in-house [[Fortran|FOTRAN]] and [[Microsoft Excel|Excel]] programs for performing engineering calculations on the company's specialized products. The programs needed to be updated to comply with changes in industry standards and offer better usability. At the same time, David wanted to make these calculations more accessible to the engineers and to allow them to customize and recombine them to make innovation easy. He started a large initiative to replace their most critical calculations with [[Wolfram Mathematica|Mathematica]] packages. Since 2012, they've had up to a dozen engineers and developers working on specifications, development, validation and documentation. They know have a very large system of packages, with hundreds of thousands of lines of MMA code and thousands of pages of documentation. Of particular importance to David, they are now reaching a critical point in both code base and user experience where their users are moving their own calculations to Mathematica and combining them with their packages to make new tools for engineering their products more efficiently. ||
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| 2018 || Bruce Colletti || || Bruce Colletti has participated in various governmental classified consulting projects throughout his career. He has also used Mathematica to prepare classroom instruction (and "after class" extracurricular instruction for students who wanted to learn about other areas of mathematics). In 2009, Northern Virginia Community College awarded him with the Netherton Award for Excellence and in 2010, named him Adjunct Faculty of the Year (an award bestowed upon him by the students). Bruce has stated that Mathematica made both honors possible. ||
| 2018 || Bruce Colletti || || Bruce Colletti has participated in various governmental classified consulting projects throughout his career. He has also used [[Wolfram Mathematica|Mathematica]] to prepare classroom instruction (and "after class" extracurricular instruction for students who wanted to learn about other areas of mathematics). In 2009, [[Northern Virginia Community College]] awarded him with the Netherton Award for Excellence and in 2010, and named him Adjunct Faculty of the Year (an award bestowed upon him by the students). Bruce has stated that Mathematica made both honors possible. ||
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| 2018 || Abby Brown || [[Torrey Pines High School]] || Abby Brown has done a lot of work to help other teachers understand her course content to give them a jump-start to teaching with Mathematica. She has demonstrated her materials first-hand during conferences and in her community and is a great advocate for Wolfram. At hackathons, even on the opposite coast at places like Princeton, MIT, Harvard, and Yale, it's common to run into students who used Wolfram Language in Abby's classes and continue to use Wolfram Language in college because of that experience. ||
| 2018 || Abby Brown || [[Torrey Pines High School]] || Abby Brown has done a lot of work to help other teachers understand her course content to give them a jump-start to teaching with [[Wolfram Mathematica|Mathematica]]. She has demonstrated her materials first-hand during conferences and in her community and is a great advocate for Wolfram. At hackathons, even on the opposite coast at places like [[Princeton University|Princeton]], [[Massachusetts Institute of Technology|MIT]], [[Harvard University|Harvard]], and [[Yale University|Yale]], it's common to run into students who used [[Wolfram Language]] in Abby's classes and continue to use Wolfram Language in college because of that experience. ||
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| 2017 || Marco Thiel || [[Institute for Pure and Applied Mathematics]] & Institute for Complex Systems and Mathematical Biology || Marco Thiel is a professor at the University of Aberdeen who uses Wolfram technologies in various domains, including education and research. A true evangelist, he has introduced hundreds of students and industry professionals alike to the Wolfram Language, and is an active user on Wolfram Community. For the last two years, Dr. Thiel has been using the Wolfram Language to develop algorithms and analyze sensor data of subjects in clinical dementia trials. The analysis is performed on large datasets through the external devices of subjects, and predictive tools, which determine changes in brain connectivity as dementia develops, are created. In his classes, Dr. Thiel utilizes CDF documents to create interactive lecture notes for his students. Using real-world data, students are able to connect topics they learn in other courses through simulations done in real time, instilling computational thinking into students long after they finish the course. || Complex Systems, Education, Mathematical Biology, Physics
| 2017 || Marco Thiel || [[Institute for Pure and Applied Mathematics]] & Institute for Complex Systems and Mathematical Biology || Marco Thiel is a professor at the [[University of Aberdeen]] who uses Wolfram technologies in various domains, including education and research. A true evangelist, he has introduced hundreds of students and industry professionals alike to the Wolfram Language, and is an active user on Wolfram Community. For the last two years, Dr. Thiel has been using the Wolfram Language to develop algorithms and analyze sensor data of subjects in clinical [[dementia]] trials. The analysis is performed on large datasets through the external devices of subjects, and predictive tools, which determine changes in brain connectivity as dementia develops, are created. In his classes, Dr. Thiel utilizes CDF documents to create interactive lecture notes for his students. Using real-world data, students are able to connect topics they learn in other courses through simulations done in real time, instilling computational thinking into students long after they finish the course. || Complex Systems, Education, Mathematical Biology, Physics
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| 2017 || Youngjoo Chung || [[Gwangju Institute of Science and Technology]] || Dr. Chung is a professor at the Gwangju Institute of Science and Technology, and has created an extensive symbolic computing package for versatile manipulation of mathematical expressions using the Wolfram Language. His package includes over 800 functions ranging from basic algebra to functional analysis. The package also contains its own interpreter language, complete online documentation and two palettes for increased ease of execution. Additionally, Dr. Chung maintains the South Korean Mathematica Users group, and is a highly active member of the international community using Wolfram technologies. || Authoring and Publishing, Education
| 2017 || Youngjoo Chung || [[Gwangju Institute of Science and Technology]] || Dr. Chung is a professor at the Gwangju Institute of Science and Technology, and has created an extensive symbolic computing package for versatile manipulation of mathematical expressions using the [[Wolfram Language]]. His package includes over 800 functions ranging from basic [[algebra]] to [[functional analysis]]. The package also contains its own interpreter language, complete online documentation and two palettes for increased ease of execution. Additionally, Dr. Chung maintains the South Korean [[Wolfram Mathematica|Mathematica]] Users group, and is a highly active member of the international community using Wolfram technologies. || Authoring and Publishing, Education
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| 2017 || Tarkeshwar Singh || Quiet Light Securities || Dr. Singh is a quantitative analyst and software engineer at Quiet Light Securities and an early adopter of Wolfram Finance Platform. In conjunction with the CTO, Robert Maxwell, Dr. Singh brought Finance Platform on board to support daily derivative trading operations by developing extensive strategies and volatility surface models, as well as performing backtesting with intraday market tick data. He also provided daily snapshots of company-wide risk through CDF documents that provided insights and satisfied compliance requirements. He also developed an internal training program to bring quants up to speed with Wolfram technologies. In the future, he hopes to utilize the machine learning capabilities of the Wolfram Language to develop advanced trading algorithms through neural networks. || Authoring and Publishing, Finance, Machine Learning, Risk Management
| 2017 || Tarkeshwar Singh || Quiet Light Securities || Dr. Singh is a quantitative analyst and software engineer at Quiet Light Securities and an early adopter of Wolfram Finance Platform. In conjunction with the CTO, Robert Maxwell, Dr. Singh brought Finance Platform on board to support daily derivative trading operations by developing extensive strategies and volatility surface models, as well as performing backtesting with intraday market tick data. He also provided daily snapshots of company-wide risk through CDF documents that provided insights and satisfied compliance requirements. He also developed an internal training program to bring quants up to speed with Wolfram technologies. In the future, he hopes to utilize the machine learning capabilities of the [[Wolfram Language]] to develop advanced trading algorithms through [[neural network]]s. || Authoring and Publishing, Finance, Machine Learning, Risk Management
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| 2017 || Chris Reed || [[The Aerospace Corporation]] || Dr. Reed is an applied mathematician at Aerospace Corporation who uses Mathematica to identify and create various aerospace solutions specific to rocket and satellite design and testing. A certified instructor at Aerospace Corp., he has introduced many colleagues to Wolfram technologies through his classes, where it has become a staple for experimentation. Dr. Reed has two approved patents that involve solving nonlinear boundary-value problems and rely on the Wolfram Language’s modeling and visualization capabilities. || Aerospace, Applied Mathematics, Authoring and Publishing, Physics
| 2017 || Chris Reed || [[The Aerospace Corporation]] || Dr. Reed is an [[Applied mathematics|applied mathematician]] at Aerospace Corporation who uses [[Wolfram Mathematica|Mathematica]] to identify and create various aerospace solutions specific to rocket and satellite design and testing. A certified instructor at Aerospace Corp., he has introduced many colleagues to Wolfram technologies through his classes, where it has become a staple for experimentation. Dr. Reed has two approved patents that involve solving nonlinear boundary-value problems and rely on the [[Wolfram Language]]’s modeling and visualization capabilities. || Aerospace, Applied Mathematics, Authoring and Publishing, Physics
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| 2017 || Peter Nilsson || [[Deerfield Academy]] || Peter Nilsson is an English teacher and the Director of Research at Deerfield Academy. Earlier this year, he led the development of an introductory course in digital humanities using the Wolfram Language. Designed for students with minimal coding experience, the course focused on four different projects blending students’ previous knowledge from English courses with basic computational concepts—allowing them to dive deeper into and perform textual analysis on famous novels as well as their own writing. || Computational Humanities, Education
| 2017 || Peter Nilsson || [[Deerfield Academy]] || Peter Nilsson is an English teacher and the Director of Research at Deerfield Academy. Earlier this year, he led the development of an introductory course in [[digital humanities]] using the [[Wolfram Language]]. Designed for students with minimal coding experience, the course focused on four different projects blending students’ previous knowledge from English courses with basic computational concepts—allowing them to dive deeper into and perform textual analysis on famous novels as well as their own writing. || Computational Humanities, Education
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| 2017 || David Milner || [[Science Applications International Corporation]] || David Milner is a research engineer at SAIC who was introduced to Wolfram technologies in 2016 through Wolfram SystemModeler. His project was the development and simulation of an octocopter—with all aspects of design, including every mechanical, electrical and control system, modeled with SystemModeler and the Wolfram Language. David’s project is now being presented as a potential solution for a vertical takeoff aircraft. || Aerospace, Mechanical Engineering
| 2017 || David Milner || [[Science Applications International Corporation]] || David Milner is a research engineer at SAIC who was introduced to Wolfram technologies in 2016 through [[Wolfram SystemModeler]]. His project was the development and simulation of an octocopter—with all aspects of design, including every mechanical, electrical and control system, modeled with SystemModeler and the [[Wolfram Language]]. David’s project is now being presented as a potential solution for a vertical takeoff aircraft. || Aerospace, Mechanical Engineering
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| 2017 || Mathematical Methods Computer-Based Exam System Team || [[Victorian Curriculum and Assessment Authority]] || For the last six years, the VCAA has conducted a trial aligning the use of computers in curriculum, pedagogy and assessment. This trial involved a number of schools and several hundred students to develop effective methodologies for combining the use of Wolfram technologies and teaching. The trial was successful, resulting in a widespread acceptance of computer-based examinations with 700,000 Victoria students and teachers now having access to Wolfram’s educational-focused tool suite. || Education
| 2017 || Mathematical Methods Computer-Based Exam System Team || [[Victorian Curriculum and Assessment Authority]] || For the last six years, the VCAA has conducted a trial aligning the use of computers in curriculum, [[pedagogy]] and assessment. This trial involved a number of schools and several hundred students to develop effective methodologies for combining the use of Wolfram technologies and teaching. The trial was successful, resulting in a widespread acceptance of computer-based examinations with 700,000 Victoria students and teachers now having access to Wolfram’s educational-focused tool suite. || Education
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| 2017 || Massimo Fazio || [[University of Alabama at Birmingham]] || Dr. Fazio is an assistant professor at the University of Alabama at Birmingham whose main focus is optical imaging. His research using Wolfram technologies led to several significant NIH grants, including the 2017 Xtreme Research Award from Heidelberg Engineering at the Association for Research in Vision and Ophthalmology (ARVO) meeting. This award was granted to Dr. Fazio for creating a custom clinical imaging protocol for glaucoma patients that provides an estimate of the eye-specific mechanical response to time-varying intraocular pressure. Additionally, he created an image processing algorithm that quantifies the 3D structure of the optic nerve from OCT clinical data entirely in the Wolfram Language. || Biotechnology, Image Processing, Mechanical Engineering
| 2017 || Massimo Fazio || [[University of Alabama at Birmingham]] || Dr. Fazio is an assistant professor at the University of Alabama at Birmingham whose main focus is optical imaging. His research using Wolfram technologies led to several significant [[NIH grant]]s, including the 2017 Xtreme Research Award from Heidelberg Engineering at the Association for Research in Vision and Ophthalmology (ARVO) meeting. This award was granted to Dr. Fazio for creating a custom clinical imaging protocol for [[glaucoma]] patients that provides an estimate of the eye-specific mechanical response to time-varying intraocular pressure. Additionally, he created an image processing algorithm that quantifies the 3D structure of the optic nerve from OCT clinical data entirely in the [[Wolfram Language]]. || Biotechnology, Image Processing, Mechanical Engineering
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| 2017 || Andrew Yule || Assured Flow Solutions || Andrew Yule is a flow assurance specialist at Assured Flow Solutions who developed an internal toolkit written entirely using the Wolfram Language and deployed it to his colleagues through EnterpriseCDF. Containing over 40 different calculations and workflows that are used daily throughout the company, this toolkit centralized Assured Flow Solutions utilities and has completely changed the way the entire organization views data analytics and visualizations. He also uses the Wolfram Cloud to deploy APIs that run calculations as a back end to Visual Basic UIs. || Authoring and Publishing, Chemical Engineering, Data Analytics, Fluid Dynamics
| 2017 || Andrew Yule || Assured Flow Solutions || Andrew Yule is a flow assurance specialist at Assured Flow Solutions who developed an internal toolkit written entirely using the [[Wolfram Language]] and deployed it to his colleagues through EnterpriseCDF. Containing over 40 different calculations and workflows that are used daily throughout the company, this toolkit centralized Assured Flow Solutions utilities and has completely changed the way the entire organization views data analytics and visualizations. He also uses the Wolfram Cloud to deploy APIs that run calculations as a back end to [[Visual Basic]] UIs. || Authoring and Publishing, Chemical Engineering, Data Analytics, Fluid Dynamics
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| 2016 || Bryan Minor || Acquisio || Bryan Minor leads algorithm development and associated intellectual property development as chief scientist at Acquisio in Montreal, Canada. He has developed Bid & Budget Management, a suite of fully automated algorithms for optimizing pay-per-click advertising across publishers, including Google, AdWords, Bing and Yahoo! Japan. Minor uses Mathematica and the Wolfram Language for research and data analysis, with algorithm implementation being focused on the API micro-service architecture of Wolfram Enterprise Private Cloud. || Advertising, Data Analysis, Research and Analysis
| 2016 || Bryan Minor || Acquisio || Bryan Minor leads algorithm development and associated intellectual property development as chief scientist at Acquisio in [[Montreal]], Canada. He has developed Bid & Budget Management, a suite of fully automated algorithms for optimizing pay-per-click advertising across publishers, including [[Google]], [[AdWords]], [[Bing (search engine)|Bing]] and [[Yahoo! Japan]]. Minor uses [[Wolfram Mathematica|Mathematica]] and the [[Wolfram Language]] for research and data analysis, with algorithm implementation being focused on the API micro-service architecture of Wolfram Enterprise Private Cloud. || Advertising, Data Analysis, Research and Analysis
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| 2016 || Richard Scott || [[Icahn School of Medicine at Mount Sinai]] || Richard Scott is part of a small group of engineers, pathologists and business development professionals at the pathology department at Mount Sinai working to commercialize image-based prostate cancer prediction models. The design of the analysis algorithms and the majority of the system development and testing were done using Mathematica and the Wolfram Language. One of the key technical advances of Scott’s system is its ability to accurately segment gland rings and fragments from prostate tissue across the full range of disease presentations using a Delaunay triangulation and Voronoi analysis. || Bioimaging, Biomedical Research, Biostatistics
| 2016 || Richard Scott || [[Icahn School of Medicine at Mount Sinai]] || Richard Scott is part of a small group of engineers, pathologists and business development professionals at the pathology department at Mount Sinai working to commercialize image-based prostate cancer prediction models. The design of the analysis algorithms and the majority of the system development and testing were done using [[Wolfram Mathematica|Mathematica]] and the [[Wolfram Language]]. One of the key technical advances of Scott’s system is its ability to accurately segment gland rings and fragments from prostate tissue across the full range of disease presentations using a [[Delaunay triangulation]] and Voronoi analysis. || Bioimaging, Biomedical Research, Biostatistics
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| 2016 || Brian Kanze || [[Georgia-Pacific]] || As data scientist and concept design leader at Georgia-Pacific, Brian Kanze uses Wolfram technologies to bring innovation to Georgia-Pacific’s consumer products division. He developed a large-scale analysis and reporting tool to assist building owners and managers in forecasting product usage, reporting availability and planning work shifts according to peak usage times. Georgia-Pacific is pioneering new software-based analytic services using Wolfram Language-based technology, and Kanze’s work has identified key areas where this technology can be used to enhance performance and analysis. || Data Analysis, Data Science, Research and Analysis
| 2016 || Brian Kanze || [[Georgia-Pacific]] || As data scientist and concept design leader at Georgia-Pacific, Brian Kanze uses Wolfram technologies to bring innovation to Georgia-Pacific’s consumer products division. He developed a large-scale analysis and reporting tool to assist building owners and managers in forecasting product usage, reporting availability and planning work shifts according to peak usage times. Georgia-Pacific is pioneering new software-based analytic services using [[Wolfram Language]]-based technology, and Kanze’s work has identified key areas where this technology can be used to enhance performance and analysis. || Data Analysis, Data Science, Research and Analysis
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| 2016 || Samer Adeeb || [[University of Alberta]] || As an associate professor in the Department of Civil and Environmental Engineering at the University of Alberta, Samer Adeeb uses Mathematica in teaching continuum mechanics, solid mechanics and finite element method courses, introducing approximately 250 undergraduate and graduate students to the Wolfram Language each year. In addition to advocating for Mathematica’s use on campus, Adeeb provides a free, online civil engineering text utilizing webMathematica. In the future, he plans to transition his site and course materials to Mathematica Online. He is the author of the book ''Introduction to Solid Mechanics and Finite Element Analysis Using Mathematica'', published in 2011. || Civil Engineering, Education, Environmental Engineering
| 2016 || Samer Adeeb || [[University of Alberta]] || As an associate professor in the Department of Civil and Environmental Engineering at the University of Alberta, Samer Adeeb uses [[Wolfram Mathematica|Mathematica]] in teaching [[continuum mechanics]], [[solid mechanics]] and [[finite element method]] courses, introducing approximately 250 undergraduate and graduate students to the [[Wolfram Language]] each year. In addition to advocating for Mathematica’s use on campus, Adeeb provides a free, online [[civil engineering]] text utilizing webMathematica. In the future, he plans to transition his site and course materials to Mathematica Online. He is the author of the book ''Introduction to Solid Mechanics and Finite Element Analysis Using Mathematica'', published in 2011. || Civil Engineering, Education, Environmental Engineering
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| 2016 || Maik Meusel || [[University of Zurich]] || Maik Meusel is the chair of quantitative business administration at the University of Zurich’s Department of Business Administration. He uses Mathematica and the Wolfram Language to improve the online assessment process. While most assessments use standard multiple-choice questions, Meusel creates dynamic, more sophisticated and individualized questions that allow educators to more accurately assess a student’s mastery of learning objectives. In June 2016, he presented on the topic “Solving Real-World Business Problems in the Classroom” at the Wolfram European Technology Tour. || Business Administration, Business Analysis, Education
| 2016 || Maik Meusel || [[University of Zurich]] || Maik Meusel is the chair of quantitative business administration at the University of Zurich’s Department of Business Administration. He uses [[Wolfram Mathematica|Mathematica]] and the [[Wolfram Language]] to improve the online assessment process. While most assessments use standard multiple-choice questions, Meusel creates dynamic, more sophisticated and individualized questions that allow educators to more accurately assess a student’s mastery of learning objectives. In June 2016, he presented on the topic “Solving Real-World Business Problems in the Classroom” at the Wolfram European Technology Tour. || Business Administration, Business Analysis, Education
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| 2016 || Ruth Dover || [[Illinois Mathematics and Science Academy]] || Ruth Dover is a math instructor at the Illinois Mathematics and Science Academy (IMSA) in Aurora, Illinois. As an early adopter of Mathematica, in 1991 she oversaw its installation on IMSA computer lab machines for use with calculus courses for precollege students. Dover was a primary courseware contributor for the Mathematica Teacher’s Edition, shaping how instructors used it to teach math courses. Dover has taught thousands of students how to use Mathematica and the Wolfram Language over the course of her career. She is the author of two Wolfram Demonstrations and was the 1998 recipient of a Wolfram High School Grant. || Calculus, Education, Mathematics
| 2016 || Ruth Dover || [[Illinois Mathematics and Science Academy]] || Ruth Dover is a math instructor at the Illinois Mathematics and Science Academy (IMSA) in [[Aurora, Illinois]]. As an early adopter of [[Wolfram Mathematica|Mathematica]], in 1991 she oversaw its installation on IMSA computer lab machines for use with [[calculus]] courses for precollege students. Dover was a primary courseware contributor for the Mathematica Teacher’s Edition, shaping how instructors used it to teach math courses. Dover has taught thousands of students how to use Mathematica and the [[Wolfram Language]] over the course of her career. She is the author of two Wolfram Demonstrations and was the 1998 recipient of a Wolfram High School Grant. || Calculus, Education, Mathematics
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| 2015 || ValueScape Analytics, Inc || || The team at ValueScape Analytics uses the Wolfram Language and Wolfram technologies to build the cloud-based computational back end for their platform. ValueScape is an innovative data science company providing real estate analytics solutions through Valuation Navigator, an iOS application for appraisers and lending institutions. The company leverages the Wolfram Language running in the cloud to provide statistical analysis, visualization, density plots, and geographic data integration. || Data Science, Engineering, Mechanical Engineering
| 2015 || ValueScape Analytics, Inc || || The team at ValueScape Analytics uses the [[Wolfram Language]] and Wolfram technologies to build the cloud-based computational back end for their platform. ValueScape is an innovative [[data science]] company providing real estate analytics solutions through Valuation Navigator, an iOS application for appraisers and lending institutions. The company leverages the Wolfram Language running in the cloud to provide statistical analysis, visualization, density plots, and geographic data integration. || Data Science, Engineering, Mechanical Engineering
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| 2015 || Phil Maymin || [[New York University Tandon School of Engineering]] || Dr. Philip Z. Maymin recently joined Vantage Sports as their Chief Analytics Officer, in which role he helps oversee and create machine learning algorithms, novel visualizations, live interactive tools, backtests, and other robust automated insights from the Vantage dataset. He developed the automated general manager, a suite of CDFs that includes draft projections, trade evaluations, and free agent rankings. It allows users to backtest a systematic strategy and compare it with a team’s actual performance using Mathematica’s machine learning algorithms and performance data. Maymin’s next project is to launch the Analytics Institute of the University of Bridgeport School of Business, with the Wolfram Language as the program’s cornerstone. || Applied Mathematics, Computer Science, Finance
| 2015 || Phil Maymin || [[New York University Tandon School of Engineering]] || Dr. Philip Z. Maymin recently joined Vantage Sports as their Chief Analytics Officer, in which role he helps oversee and create [[machine learning]] algorithms, novel visualizations, live interactive tools, backtests, and other robust automated insights from the Vantage dataset. He developed the automated general manager, a suite of CDFs that includes draft projections, trade evaluations, and free agent rankings. It allows users to backtest a systematic strategy and compare it with a team’s actual performance using [[Wolfram Mathematica|Mathematica’s]] machine learning algorithms and performance data. Maymin’s next project is to launch the Analytics Institute of the [[University of Bridgeport]] School of Business, with the [[Wolfram Language]] as the program’s cornerstone. || Applied Mathematics, Computer Science, Finance
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| 2015 || Grant Bunker || [[Illinois Institute of Technology]] || Grant Bunker first used Mathematica at the Illinois Institute of Technology in 1988 as a beta tester. Since then, he has given numerous talks on Mathematica, encouraging a variety of academic organizations to adopt it in education. Also a longtime commercial user, Bunker founded Quercus X-ray Technologies, LLC, maker of X-ray filtering devices produced with core algorithms developed in the Wolfram Language. Bunker has plans to adopt Mathematica Online for the approximately 3,000 iPads issued to students at IIT—one of the largest campus-coordinated curriculum efforts involving tablets to date in the US. || Education, Molecular Biology, Physics
| 2015 || Grant Bunker || [[Illinois Institute of Technology]] || Grant Bunker first used [[Wolfram Mathematica|Mathematica]] at the Illinois Institute of Technology in 1988 as a beta tester. Since then, he has given numerous talks on Mathematica, encouraging a variety of academic organizations to adopt it in education. Also a longtime commercial user, Bunker founded Quercus X-ray Technologies, LLC, maker of [[X-ray]] filtering devices produced with core algorithms developed in the [[Wolfram Language]]. Bunker has plans to adopt Mathematica Online for the approximately 3,000 [[iPad]]s issued to students at IIT—one of the largest campus-coordinated curriculum efforts involving tablets to date in the US. || Education, Molecular Biology, Physics
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| 2015 || Luci Ellis || [[Reserve Bank of Australia]] || Dr. Luci Ellis is Head of the Financial Stability Department at the Reserve Bank of Australia, where she led a team of IT developers to create a new internal graphing development process, GraphIT, which creates Mathematica chart objects using .NET. Dr. Ellis has held various positions in economic analysis research and worked on the global macroeconomics team of the Bank for International Settlements in Basel, Switzerland. She has written on a range of economic and financial topics, including exchange rates, housing prices, mortgage finance, and factor income shares, and she co-moderates the Mathematica Stack Exchange site under the pseudonym Verbeia. Dr. Ellis continues to advocate for employee adoption of Mathematica and the publishing of CDF-deployed charts while minimizing the Reserve Bank of Australia’s dependency on Excel. || Economic Research and Analysis, Economics, Finance
| 2015 || Luci Ellis || [[Reserve Bank of Australia]] || Dr. Luci Ellis is Head of the Financial Stability Department at the Reserve Bank of Australia, where she led a team of IT developers to create a new internal graphing development process, GraphIT, which creates [[Wolfram Mathematica|Mathematica]] chart objects using [[.NET Framework]]. Dr. Ellis has held various positions in economic analysis research and worked on the global [[macroeconomics]] team of the Bank for International Settlements in [[Basel|Basel, Switzerland]]. She has written on a range of economic and financial topics, including exchange rates, housing prices, mortgage finance, and factor income shares, and she co-moderates the Mathematica Stack Exchange site under the pseudonym Verbeia. Dr. Ellis continues to advocate for employee adoption of Mathematica and the publishing of CDF-deployed charts while minimizing the Reserve Bank of Australia’s dependency on [[Microsoft Excel|Excel]]. || Economic Research and Analysis, Economics, Finance
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| 2015 || George (Dave) Lawrence || [[Oregon National Primate Research Center]] || George (Dave) Lawrence first used Mathematica in his work with the gamma ray observatory at Hughes Aircraft and today uses it as a basis for the computational integration of biomedical workflows at the Oregon National Primate Research Center. Although he starting using Mathematica for his own population modeling, Lawrence has since helped five hundred medical researchers adopt the Wolfram Language for data analytics. In addition, his ARSTools (Animal Resource System Tools) package linked diverse lab datasets and democratized data for all researchers. After his data analytics system was shown to improve the efficiency of planning new clinical trials by 50%, three other primate research centers began using Wolfram Language applications and EnterpriseCDF technology. || Biomedical Research, Engineering Physics
| 2015 || George (Dave) Lawrence || [[Oregon National Primate Research Center]] || George (Dave) Lawrence first used [[Wolfram Mathematica|Mathematica]] in his work with the [[gamma ray]] observatory at [[Hughes Aircraft Company]] and today uses it as a basis for the computational integration of biomedical workflows at the Oregon National Primate Research Center. Although he starting using Mathematica for his own population modeling, Lawrence has since helped five hundred medical researchers adopt the [[Wolfram Language]] for data [[analytics]]. In addition, his ARSTools (Animal Resource System Tools) package linked diverse lab datasets and democratized data for all researchers. After his data analytics system was shown to improve the efficiency of planning new clinical trials by 50%, three other primate research centers began using Wolfram Language applications and EnterpriseCDF technology. || Biomedical Research, Engineering Physics
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| 2015 || Joseph Hirl || Agilis Energy, LLC. || Joseph Hirl started using Mathematica at Enron in the late 1990s. (His group had originally purchased Maple, but broke it within a week.) After making the switch to Wolfram technologies, Hirl developed a commercial tool that analyzes and visualizes energy data for organizations’ buildings. Using “smart meter” data as input—and through extensive processing, pattern recognition, and image visualization—Hirl and his team are able to provide insights related to a building and its behavior under a wide range of conditions. Using EnterpriseCDF as a reporting tool, he demonstrates existing energy inefficiencies and recommends opportunities for improvement through CDF-powered tables, charts, and MRI-like visualizations. || Electrical Engineering, Nuclear Engineering
| 2015 || Joseph Hirl || Agilis Energy, LLC. || Joseph Hirl started using [[Wolfram Mathematica|Mathematica]] at [[Enron]] in the late 1990s. (His group had originally purchased [[Maple (software)|Maple]], but broke it within a week.) After making the switch to Wolfram technologies, Hirl developed a commercial tool that analyzes and visualizes energy data for organizations’ buildings. Using “smart meter” data as input—and through extensive processing, pattern recognition, and image visualization—Hirl and his team are able to provide insights related to a building and its behavior under a wide range of conditions. Using EnterpriseCDF as a reporting tool, he demonstrates existing energy inefficiencies and recommends opportunities for improvement through CDF-powered tables, charts, and MRI-like visualizations. || Electrical Engineering, Nuclear Engineering
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| 2015 || Kale Wallace || Samson Energy || Kale Wallace first started using Mathematica in university courses and has since used it in his work at Southwestern Energy and Samson Energy for data handling and image processing. At Southwestern Energy, Wallace built a well productivity prediction model analyzing millions of lines of data and using machine learning to predict well performance based on drilling and completion parameters. He has also created field-development visualizations showing wells brought online and their corresponding production and cashflow. His replication of the ARIES economics engine in Mathematica allowed probabilistic (Monte Carlo) economics methods, full-field development scenarios, break-even calculations, and go-forward recommendations to be evaluated much more quickly than could be done in ARIES. || Chemical Engineering, Image Processing
| 2015 || Kale Wallace || Samson Energy || Kale Wallace first started using [[Wolfram Mathematica|Mathematica]] in university courses and has since used it in his work at Southwestern Energy and Samson Energy for data handling and [[image processing]]. At Southwestern Energy, Wallace built a well productivity prediction model analyzing millions of lines of data and using machine learning to predict well performance based on drilling and completion parameters. He has also created field-development visualizations showing wells brought online and their corresponding production and cashflow. His replication of the ARIES economics engine in Mathematica allowed probabilistic (Monte Carlo) economics methods, full-field development scenarios, break-even calculations, and go-forward recommendations to be evaluated much more quickly than could be done in ARIES. || Chemical Engineering, Image Processing
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| 2015 || Mark Adler || Low Density Supersonic Decelerator Project || Mark Adler is best known for his work in the field of data compression as the author of the Adler-32 checksum function, and as co-author of the zlib compression library and gzip. He was also the Spirit Cruise Mission Manager for the Mars Exploration Rover Mission and is an instrument-rated private pilot, a certified scuba diver, and an amateur theater actor. Mark has used Mathematica for decades, including during his work on the Mars Exploration Mission. Using NDSolve and numeric integers, the team simulated entry through a variety of changing conditions to mitigate risk and more accurately predict a successful landing. || Electrical Engineering, Mathematics, Physics
| 2015 || Mark Adler || Low Density Supersonic Decelerator Project || Mark Adler is best known for his work in the field of [[data compression]] as the author of the Adler-32 checksum function, and as co-author of the [[zlib]] compression library and [[gzip]]. He was also the Spirit Cruise Mission Manager for the [[Mars Exploration Rover]] Mission and is an instrument-rated private pilot, a certified [[scuba diving|scuba diver]], and an amateur theater actor. Mark has used [[Wolfram Mathematica|Mathematica]] for decades, including during his work on the Mars Exploration Mission. Using NDSolve and numeric integers, the team simulated entry through a variety of changing conditions to mitigate risk and more accurately predict a successful landing. || Electrical Engineering, Mathematics, Physics
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| 2015 || Paul Abbott || [[University of Western Australia]] || Paul Abbott has used Mathematica extensively for research in wavelets and few-body atomic physics and to explore problems in computational and mathematical physics. He received a computational science award for his course in computational physics and has lectured on Mathematica in the United States, Japan, Singapore, Thailand, and India, and at several Australian universities. Abbott worked for Wolfram Research from 1989 to 1991, has served as a contributing editor of ''The Mathematica Journal'' since 1990, and has worked as a consultant to Wolfram Research since 1997. || Applied Mathematics, Computational Physics, Image and Signal Processing, Mathematical Modeling, Mathematics Courseware Design, Theoretical Physics
| 2015 || Paul Abbott || [[University of Western Australia]] || Paul Abbott has used [[Wolfram Mathematica|Mathematica]] extensively for research in [[wavelet]]s and few-body [[atomic physics]] and to explore problems in [[Computational physics|computational]] and [[mathematical physics]]. He received a computational science award for his course in computational physics and has lectured on Mathematica in the [[United States]], [[Japan]], [[Singapore]], [[Thailand]], and [[India]], and at several Australian universities. Abbott worked for Wolfram Research from 1989 to 1991, has served as a contributing editor of ''The Mathematica Journal'' since 1990, and has worked as a consultant to Wolfram Research since 1997. || Applied Mathematics, Computational Physics, Image and Signal Processing, Mathematical Modeling, Mathematics Courseware Design, Theoretical Physics
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| 2015 || Juan Pablo Carvallo Vega || Ecuador National Network of Research and Education || Dr. Carvallo’s long-term vision for using Wolfram technologies to innovate education and research in Ecuador has introduced academic services and professional research previously unknown or underused in Ecuador, including high-speed internet access, research repositories, Eduroam, Telemedicine, and high-performance computing services. Under his leadership at CEDIA (National Research and Education Network of Ecuador), Dr. Carvallo leverages Wolfram technologies to develop, document, and systematize education and research efforts and resources in Ecuador. He is devoted to creating the next generation of scientific, educational, and research talent needed to support a knowledge-driven economy within the country. || Software Engineering, Systems Engineering, Telecommunication and Network Management
| 2015 || Juan Pablo Carvallo Vega || Ecuador National Network of Research and Education || Dr. Carvallo’s long-term vision for using Wolfram technologies to innovate education and research in Ecuador has introduced academic services and professional research previously unknown or underused in [[Ecuador]], including high-speed internet access, research repositories, [[Eduroam]], [[Telemedicine]], and high-performance computing services. Under his leadership at CEDIA (National Research and Education Network of Ecuador), Dr. Carvallo leverages Wolfram technologies to develop, document, and systematize education and research efforts and resources in Ecuador. He is devoted to creating the next generation of scientific, educational, and research talent needed to support a knowledge-driven economy within the country. || Software Engineering, Systems Engineering, Telecommunication and Network Management
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| 2015 || André Koppel || André Koppel Software GmbH || André Koppel has worked in the field of measurement systems for over thirty years, developing robust software for intensive use in a wide variety of fields. His most recent project is the development of a modular software system for insolvency management, called INVEP, which uses the Wolfram Language to power its analytical engine. INVEP is capable of processing and analyzing accounts with more than 100,000 entries within seconds. He also teaches a course in insolvency analysis, using Wolfram Mathematica, at the University of Applied Sciences Schmalkalden. || C, Data Analysis, Embedded Systems, Financial Analysis, Insolvency Analysis, Programming, QNX, Software Development, Visualization
| 2015 || André Koppel || André Koppel Software GmbH || André Koppel has worked in the field of measurement systems for over thirty years, developing robust software for intensive use in a wide variety of fields. His most recent project is the development of a modular software system for insolvency management, called INVEP, which uses the [[Wolfram Language]] to power its analytical engine. INVEP is capable of processing and analyzing accounts with more than 100,000 entries within seconds. He also teaches a course in insolvency analysis, using [[Wolfram Mathematica|Mathematica]], at the University of Applied Sciences in [[Schmalkalden]]. || C, Data Analysis, Embedded Systems, Financial Analysis, Insolvency Analysis, Programming, QNX, Software Development, Visualization
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| 2015 || UnRisk Development Team || MathConsult GmbH and uni software plus GmbH || MathConsult GmbH and uni software plus GmbH share this award for their work in the development and continued success of the UnRisk family of products, built on the Wolfram Language and used in the finance industry for financial derivatives and risk analytics. The two companies are closely linked, working together on numerous other industrial mathematics consultancy projects, and are based at the Johannes Kepler University Linz. They have been long-term advocates of Wolfram technologies, a byproduct of the strong sales and marketing partnership uni software plus has had with Wolfram for over two decades. || Financial Analysis, Industrial Mathematics, Risk Management, Software Development
| 2015 || UnRisk Development Team || MathConsult GmbH and uni software plus GmbH || MathConsult GmbH and uni software plus GmbH share this award for their work in the development and continued success of the UnRisk family of products, built on the [[Wolfram Language]] and used in the finance industry for financial derivatives and risk analytics. The two companies are closely linked, working together on numerous other industrial mathematics consultancy projects, and are based at the [[Johannes Kepler University Linz]]. They have been long-term advocates of Wolfram technologies, a byproduct of the strong sales and marketing partnership uni software plus has had with Wolfram for over two decades. || Financial Analysis, Industrial Mathematics, Risk Management, Software Development
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| 2014 || Richard J. Gaylord || [[University of Illinois at Urbana–Champaign]] || Richard Gaylord is one of Mathematica’s earliest users and is a self-described evangelist for the Wolfram Language. He taught computer programming in the Wolfram Language at many universities, companies, government agencies, and scientific conferences for more than 25 years. He has co-authored several texts, including An Introduction to Programming with Mathematica, and three other books on programming computer simulations in a wide variety of fields using the Wolfram Language. || Authoring and Publishing, Authoring in Mathematica, Biology, Computer Science, Computer-Aided Education, Education, Physics
| 2014 || Richard J. Gaylord || [[University of Illinois at Urbana–Champaign]] || Richard Gaylord is one of [[Wolfram Mathematica|Mathematica’s]] earliest users and is a self-described evangelist for the [[Wolfram Language]]. He taught computer programming in the Wolfram Language at many universities, companies, government agencies, and scientific conferences for more than 25 years. He has co-authored several texts, including ''An Introduction to Programming with Mathematica'', and three other books on programming computer simulations in a wide variety of fields using the Wolfram Language. || Authoring and Publishing, Authoring in Mathematica, Biology, Computer Science, Computer-Aided Education, Education, Physics
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| 2014 || János Karsai || [[University of Szeged]] || János Karsai has been using Mathematica since 1994 in teaching and research. He teaches mathematics and Mathematica-aided modeling to math, pharmacy, biology, and engineering students in Szeged and Berlin, and has given several Mathematica trainings of different levels and topics in Hungary, Czech Republic, Serbia, and Romania. He has supervised several outstanding students in Mathematica-related research. Karsai applies Mathematica experiments in his research; works on modernizing mathematical education, especially in applied sciences; and manages several projects in these fields. He developed a package and wrote a book on impulsive systems with Mathematica in 2002 and has prepared several dynamic teaching materials in Mathematica for his courses. || Authoring in Mathematica, Computer-Aided Education, Impulsive Systems, Modeling Dynamical Systems with Mathematica, Nonlinear Oscillations, Population Dynamics
| 2014 || János Karsai || [[University of Szeged]] || János Karsai has been using [[Wolfram Mathematica|Mathematica]] since 1994 in teaching and research. He teaches mathematics and Mathematica-aided modeling to math, [[pharmacy]], [[biology]], and engineering students in [[Szeged]] and [[Berlin]], and has given several Mathematica trainings of different levels and topics in [[Hungary]], [[Czech Republic]], [[Serbia]], and [[Romania]]. He has supervised several outstanding students in Mathematica-related research. Karsai applies Mathematica experiments in his research; works on modernizing mathematical education, especially in applied sciences; and manages several projects in these fields. He developed a package and wrote a book on impulsive systems with Mathematica in 2002 and has prepared several dynamic teaching materials in Mathematica for his courses. || Authoring in Mathematica, Computer-Aided Education, Impulsive Systems, Modeling Dynamical Systems with Mathematica, Nonlinear Oscillations, Population Dynamics
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| 2014 || Mark Kotanchek || Evolved Analytics || Mark Kotanchek left Dow Chemical in 2005 to form the startup Evolved Analytics. DataModeler, one of the largest Mathematica applications produced outside of Wolfram Research, handles data modeling via evolutionary programs. It also performs data analysis and makes sophisticated use of both user interface and kernel technology. At the 2014 Wolfram Technology Conference, Kotanchek revealed a GUI for DataModeler that makes it even easier to use Wolfram’s world-class analysis capabilities. || Data Mining and Analysis, Economics, Financial Risk, Mathematica Consulting, Probability Theory, Risk, Risk Analysis
| 2014 || Mark Kotanchek || Evolved Analytics || Mark Kotanchek left Dow Chemical in 2005 to form the startup Evolved Analytics. DataModeler, one of the largest [[Wolfram Mathematica|Mathematica]] applications produced outside of Wolfram Research, handles data modeling via evolutionary programs. It also performs data analysis and makes sophisticated use of both user interface and kernel technology. At the 2014 Wolfram Technology Conference, Kotanchek revealed a GUI for DataModeler that makes it even easier to use Wolfram’s world-class analysis capabilities. || Data Mining and Analysis, Economics, Financial Risk, Mathematica Consulting, Probability Theory, Risk, Risk Analysis
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| 2014 || John Michopoulos || [[United States Naval Research Laboratory]] || John Michopoulos uses Mathematica in his professional research with composite materials and has been published in the ''International Journal for Multiscale Computational Engineering'', ''Composite Structures'', and the ''Journal of Computing and Information Science in Engineering''. He applies the global optimization capabilities of Mathematica to solve inverse problems and better understand the physics of materials and composite material designs. || Control, Control Engineering, Materials Science, Modeling Dynamical Systems with Mathematica, Physics, System Modeling
| 2014 || John Michopoulos || [[United States Naval Research Laboratory]] || John Michopoulos uses [[Wolfram Mathematica|Mathematica]] in his professional research with composite materials and has been published in the ''International Journal for Multiscale Computational Engineering'', ''Composite Structures'', and the ''Journal of Computing and Information Science in Engineering''. He applies the global optimization capabilities of Mathematica to solve inverse problems and better understand the [[physics]] of materials and composite material designs. || Control, Control Engineering, Materials Science, Modeling Dynamical Systems with Mathematica, Physics, System Modeling
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| 2014 || Rodrigo Murta || St Marche Supermercados || Rodrigo Murta is Retail Intelligence Manager for St Marche Supermercados, a high-end supermarket chain, and the first customer to purchase Mathematica Enterprise Edition in Brazil. He uses Mathematica as a hub for all of the company’s data, workflows, computation, and processing, and EnterpriseCDF to construct reports for store managers and company executives. He is currently experimenting with a web-based report interface that provides even greater access to intelligence reports. || Data Mining and Analysis, Economics, Finance, Interface Design, Physics, Population Dynamics, Risk, Risk Analysis
| 2014 || Rodrigo Murta || St. Marche Supermercados || Rodrigo Murta is Retail Intelligence Manager for St Marche Supermercados, a high-end supermarket chain, and the first customer to purchase Mathematica Enterprise Edition in [[Brazil]]. He uses [[Wolfram Mathematica|Mathematica]] as a hub for all of the company’s data, workflows, computation, and processing, and EnterpriseCDF to construct reports for store managers and company executives. He is currently experimenting with a web-based report interface that provides even greater access to intelligence reports. || Data Mining and Analysis, Economics, Finance, Interface Design, Physics, Population Dynamics, Risk, Risk Analysis
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| 2014 || Yves Papegay || [[French Institute for Research in Computer Science and Automation]] || Yves Papegay integrates new Wolfram technologies into his workflow and has used Wolfram Development Platform (formerly Wolfram Programming Cloud) and Mathematica on Raspberry Pi for his robotics projects. Papegay is also a Wolfram certified instructor and develops industrial Mathematica tools for C code generation in the aerospace and energy industries for companies including Airbus and French energy company, EDF. || Authoring and Publishing, Computer Science, Education, Mathematics
| 2014 || Yves Papegay || [[French Institute for Research in Computer Science and Automation]] || Yves Papegay integrates new Wolfram technologies into his workflow and has used Wolfram Development Platform (formerly Wolfram Programming Cloud) and [[Wolfram Mathematica|Mathematica]] on [[Raspberry Pi]] for his [[robotics]] projects. Papegay is also a Wolfram certified instructor and develops industrial Mathematica tools for [[C (programming language)|C]] code generation in the [[aerospace]] and energy industries for companies including [[Airbus]] and French energy company, EDF. || Authoring and Publishing, Computer Science, Education, Mathematics
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| 2014 || Frank Scherbaum || [[University of Potsdam]] || Frank Scherbaum, a professor of geophysics at the University of Potsdam, has been using Wolfram technologies since Mathematica 1. He has developed packages for signal processing, seismology, and seismic hazard analysis, which are widely used in research and teaching. His most recent book on probabilistic seismic hazard analysis, developed with the help of his students Nico Kuehn and Annabel Hëndel, covers widely diverse areas such as probability theory, earthquake seismology, strong motion processing, and geotechnical engineering, and has been fully generated with Mathematica and CDF technology. In addition, he uses Mathematica extensively as a hobby musicologist to explore new ways to represent and classify polyphonic vocal music. || Musicology, Probability Theory, Seismology, Signal Processing
| 2014 || Frank Scherbaum || [[University of Potsdam]] || Frank Scherbaum, a professor of [[geophysics]] at the University of Potsdam, has been using Wolfram technologies since [[Wolfram Mathematica|Mathematica]] 1. He has developed packages for [[signal processing]], [[seismology]], and seismic hazard analysis, which are widely used in research and teaching. His most recent book on probabilistic seismic hazard analysis, developed with the help of his students Nico Kuehn and Annabel Hëndel, covers widely diverse areas such as [[probability theory]], earthquake [[seismology]], strong motion processing, and [[geotechnical engineering]], and has been fully generated with Mathematica and CDF technology. In addition, he uses Mathematica extensively as a hobby [[musicology|musicologist]] to explore new ways to represent and classify [[polyphony|polyphonic vocal music]]. || Musicology, Probability Theory, Seismology, Signal Processing
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| 2014 || Chad Slaughter || Enova Financial || At Enova Financial, Chad Slaughter used Mathematica’s deep analysis capabilities to better understand the relationship between performance data and top-level business metrics. This led to the Colossus Project, a completely automated platform that handles Enova’s online loan approval system and can process more than 20,000 loans per hour. Now a consultant, Slaughter is also using Wolfram Development Platform (formerly Wolfram Programming Cloud) to create solutions for Eligo Energy. || Actuarial Sciences, Data Mining and Analysis, Economics, Finance, Financial Risk, Risk, Risk Analysis
| 2014 || Chad Slaughter || Enova Financial || At Enova Financial, Chad Slaughter used [[Wolfram Mathematica|Mathematica’s]] [[deep learning|deep analysis]] capabilities to better understand the relationship between performance data and top-level business metrics. This led to the Colossus Project, a completely automated platform that handles Enova’s online loan approval system and can process more than 20,000 loans per hour. Now a consultant, Slaughter is also using Wolfram Development Platform (formerly Wolfram Programming Cloud) to create solutions for Eligo Energy. || Actuarial Sciences, Data Mining and Analysis, Economics, Finance, Financial Risk, Risk, Risk Analysis
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| 2014 || Bruce Torrence || [[Randolph-Macon College]] || Bruce Torrence is the author of numerous Mathematica books and articles including ''The Student’s Introduction to Mathematica'', a popular general reference book for students and educators. In addition to publishing dozens of articles on the use of Mathematica in education and research, Torrence recently completed a five-year editorship at ''Math Horizons'' and is a Wolfram Science Summer School alumni. || Authoring and Publishing, Authoring in Mathematica, Computer Graphics and Visual Arts, Computer-Aided Education, Education, Mathematics
| 2014 || Bruce Torrence || [[Randolph-Macon College]] || Bruce Torrence is the author of numerous [[Wolfram Mathematica|Mathematica]] books and articles including ''The Student’s Introduction to Mathematica'', a popular general reference book for students and educators. In addition to publishing dozens of articles on the use of Mathematica in education and research, Torrence recently completed a five-year editorship at ''Math Horizons'' and is a Wolfram Science Summer School alumni. || Authoring and Publishing, Authoring in Mathematica, Computer Graphics and Visual Arts, Computer-Aided Education, Education, Mathematics
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| 2013 || Frank Brand || [[Berlin School of Economics and Law]] || Physicist Frank Brand teaches courses in business mathematics, statistics, econometrics, and optimization using Mathematica. He has used Mathematica for many years, starting with his PhD thesis, “Optimization of Complex Optical Systems with Evolution Strategies.” Frank’s achievements using Mathematica in his research include the automatic construction of quality functions related to optimization problems. He also used Wolfram technology to write books—very recently he published a book on the analysis of complex systems, based on applications of graph theory. || Finance, High-Performance and Parallel Computing, Industrial Engineering Economics, Mathematics
| 2013 || Frank Brand || [[Berlin School of Economics and Law]] || [[Physicist]], Frank Brand teaches courses in [[business mathematics]], [[statistics]], [[econometrics]], and optimization using [[Wolfram Mathematica|Mathematica]]. He has used Mathematica for many years, starting with his PhD thesis, “Optimization of Complex Optical Systems with Evolution Strategies.” Frank’s achievements using Mathematica in his research include the automatic construction of quality functions related to optimization problems. He also used Wolfram technology to write books—very recently he published a book on the analysis of complex systems, based on applications of [[graph theory]]. || Finance, High-Performance and Parallel Computing, Industrial Engineering Economics, Mathematics
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| 2013 || Stefan Braun || SmartCAE || Stefan Braun is recognized for using Mathematica in industrial applications. He has used Mathematica and the SmartCAEFab in more that 150+ industrial projects in different application areas. SmartCAE’s software solutions allow practical users to simulate complex applications problems, with a lot of parameters, without being a simulation or Mathematica expert. || Aerospace, Biotechnology, Chemical Engineering, Control, Data Mining and Analysis, Engineering, Finance, Financial Risk, High-Performance and Parallel Computing, Image Processing, Industrial Engineering, Interface Design, Materials Science, Mathematica Consulting, Mechanical Engineering, Pharmaceutical, Physics, Risk Analysis, Signal Processing, Structural Engineering
| 2013 || Stefan Braun || SmartCAE || Stefan Braun is recognized for using [[Wolfram Mathematica|Mathematica]] in industrial applications. He has used Mathematica and the SmartCAEFab in more that 150+ industrial projects in different application areas. SmartCAE’s software solutions allow practical users to simulate complex applications problems, with a lot of parameters, without being a simulation or Mathematica expert. || Aerospace, Biotechnology, Chemical Engineering, Control, Data Mining and Analysis, Engineering, Finance, Financial Risk, High-Performance and Parallel Computing, Image Processing, Industrial Engineering, Interface Design, Materials Science, Mathematica Consulting, Mechanical Engineering, Pharmaceutical, Physics, Risk Analysis, Signal Processing, Structural Engineering
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| 2013 || Sam Daniel || [[Raytheon Missile Systems]] || Sam Daniel has been using Mathematica since 1988—the year Mathematica 1.0 was launched—to complete a range of innovative projects from patented work on fingerprint identification algorithms for Motorola to spearheading signal processing projects for Raytheon Missile Systems. His mastery of Mathematica has enabled him to document his work and share those results with others, bringing invaluable insights to areas from adaptive antenna simulation to radar ground clutter characterization. Sam’s continued work with Mathematica will include creating elaborate Enterprise CDFs from Wolfram SystemModeler for possible automatic extraction of parameters and control placement. || Control Engineering, Engineering, Signal Processing
| 2013 || Sam Daniel || [[Raytheon Missile Systems]] || Sam Daniel has been using [[Wolfram Mathematica|Mathematica]] since 1988—the year Mathematica 1.0 was launched—to complete a range of innovative projects from patented work on [[fingerprint]] identification algorithms for [[Motorola]] to spearheading [[signal processing]] projects for Raytheon Missile Systems. His mastery of Mathematica has enabled him to document his work and share those results with others, bringing invaluable insights to areas from adaptive antenna simulation to radar ground clutter characterization. Sam’s continued work with Mathematica will include creating elaborate Enterprise CDFs from [[Wolfram SystemModeler]] for possible automatic extraction of parameters and control placement. || Control Engineering, Engineering, Signal Processing
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| 2013 || George Danner || Business Laboratory, LLC. || In his role as President of Business Laboratory, LLC, George Danner uses Mathematica to solve complex problems for mid-size and large businesses and government organizations. Following the flu outbreaks that took health agencies by surprise in 2008, Danner simulated a hypothetical outbreak in Alabama. As a result, state and federal health officials were able to role-play a series of outbreaks and identify barriers to outbreak response. Other accomplishments include assisting an energy company with over 1,100 natural gas wells in identifying an optimal drilling sequence and helping a large national retailer double its number of stores by using simulated shopper agents to determine optimal locations. || Industrial Engineering, Industrial Engineering Economics
| 2013 || George Danner || Business Laboratory, LLC. || In his role as President of Business Laboratory, LLC, George Danner uses [[Wolfram Mathematica|Mathematica]] to solve complex problems for mid-size and large businesses and government organizations. Following the flu outbreaks that took health agencies by surprise in 2008, Danner simulated a hypothetical outbreak in [[Alabama]]. As a result, state and federal health officials were able to role-play a series of outbreaks and identify barriers to outbreak response. Other accomplishments include assisting an energy company with over 1,100 natural gas wells in identifying an optimal drilling sequence and helping a large national retailer double its number of stores by using simulated shopper agents to determine optimal locations. || Industrial Engineering, Industrial Engineering Economics
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| 2013 || Brian Frezza & Emerald Therapeutics || Emerald Therapeutics || Brian Frezza, Co-CEO and Co-founder of Emerald Therapeutics, has integrated Mathematica at many organizational levels within the company—from using it as a standard documentation tool for the Emerald Therapeutics computer platform to controlling laboratory robots. Although the business is small, Mathematica has been broadly integrated in a manner rarely seen, even by Mathematica’s power users. Emerald’s small team has used Mathematica to conduct more than half a million biotech experiments. || Biotechnology
| 2013 || Brian Frezza & Emerald Therapeutics || Emerald Therapeutics || Brian Frezza, Co-CEO and Co-founder of Emerald Therapeutics, has integrated [[Wolfram Mathematica|Mathematica]] at many organizational levels within the company—from using it as a standard documentation tool for the Emerald Therapeutics computer platform to controlling laboratory robots. Although the business is small, Mathematica has been broadly integrated in a manner rarely seen, even by Mathematica’s power users. Emerald’s small team has used Mathematica to conduct more than half a million [[biotechnology]] experiments. || Biotechnology
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| 2013 || Grigory Fridman || [[Saint Petersburg State University of Economics]] || Grigory Fridman is Head of the Department of Economical Cybernetics and Mathematical Methods for Economics at Saint Petersburg State University of Economics in Saint Petersburg, Russia. With his help StPSUE became the first university in Russia to offer access to Mathematica to all faculty and students. || Computer Science, Education, Finance, Mathematics, Risk
| 2013 || Grigory Fridman || [[Saint Petersburg State University of Economics]] || Grigory Fridman is Head of the Department of Economical [[Cybernetics]] and Mathematical Methods for Economics at Saint Petersburg State University of Economics in [[Saint Petersburg]], Russia. With his help StPSUE became the first university in Russia to offer access to [[Wolfram Mathematica|Mathematica]] to all faculty and students. || Computer Science, Education, Finance, Mathematics, Risk
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| 2013 || Charles Macal || [[Argonne National Laboratory]] || As Director of the Center for Complex Adaptive Agent Systems Simulation at Argonne National Lab, Charles Macal uses Mathematica to develop models for studying behavioral factors that contribute to the spread of Methicillin-resistant Staphylococcus aureus (MRSA) and to study how human reactions to political and military action can be quantified and used to simulate when and if conflicts will arise. Macal has been asked to work with the Federal Highway Administration on an innovative new project to develop models for understanding driver behavior for route planning and improving vehicular safety. || Engineering, System Modeling
| 2013 || Charles Macal || [[Argonne National Laboratory]] || As Director of the Center for Complex Adaptive Agent Systems Simulation at Argonne National Lab, Charles Macal uses [[Wolfram Mathematica|Mathematica]] to develop models for studying behavioral factors that contribute to the spread of [[Methicillin-resistant Staphylococcus aureus]] (MRSA) and to study how human reactions to political and military action can be quantified and used to simulate when and if conflicts will arise. Macal has been asked to work with the [[Federal Highway Administration]] on an innovative new project to develop models for understanding driver behavior for route planning and improving vehicular safety. || Engineering, System Modeling
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| 2013 || Rolf Mertig || GluonVision GmbH || Rolf Mertig is a physicist working in different fields as a software consultant. His specialties include efficient webMathematica programming and programmatic CDF generation. Through his own consulting company, GluonVision GmbH based in Berlin, Germany, he works with companies and universities in order for them to get the most out of Mathematica, webMathematica, and CDF. || Actuarial Sciences, Data Mining and Analysis, Mathematica Consulting, Physics
| 2013 || Rolf Mertig || GluonVision GmbH || Rolf Mertig is a [[physicist]] working in different fields as a software consultant. His specialties include efficient webMathematica programming and programmatic CDF generation. Through his own consulting company, GluonVision GmbH based in [[Berlin]], Germany, he works with companies and universities in order for them to get the most out of [[Wolfram Mathematica|Mathematica]], webMathematica, and CDF. || Actuarial Sciences, Data Mining and Analysis, Mathematica Consulting, Physics
|-
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| 2013 || Tom Meyer || [[University of Connecticut]] || As a developer of Mathematica’s Geodesy package, Thomas Meyer has pioneered the use of Mathematica in geodesy and geographic information systems (GIS) throughout his career at the University of Connecticut. Meyer has published eight papers in two years in which Mathematica was used to conduct research. One paper, “The Direct and Indirect Problem for Loxodromes,” provides the mathematics of how to write an autopilot using a GPS to lay out the course, correctly using modern geodetic reference ellipsoids. Meyer also uses Mathematica in teaching a range of courses from geomatics and GNSS surveying to spatial statistics and programming. || Education, Geographic Information Systems
| 2013 || Tom Meyer || [[University of Connecticut]] || As a developer of [[Wolfram Mathematica|Mathematica’s]] Geodesy package, Thomas Meyer has pioneered the use of Mathematica in [[geodesy]] and [[geographic information systems]] (GIS) throughout his career at the University of Connecticut. Meyer has published eight papers in two years in which Mathematica was used to conduct research. One paper, “The Direct and Indirect Problem for Loxodromes,” provides the mathematics of how to write an autopilot using a GPS to lay out the course, correctly using modern geodetic reference ellipsoids. Meyer also uses Mathematica in teaching a range of courses from [[geomatics]] and [[Satellite navigation|GNSS]] surveying to [[spatial analysis|spatial statistics]] and programming. || Education, Geographic Information Systems
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| 2013 || Bart ter Haar Romeny || [[Eindhoven University of Technology]] || A professor in biomedical image analysis, Bart ter Haar Romeny uses Mathematica to design brain-inspired image analysis methods for computer-aided diagnosis. He is an enthusiastic teacher, and introduced Mathematica as a design tool in the curriculum for all students of his department and in most projects in his group. He advocates that Mathematica is ideal for designing innovative algorithms and for “playing with the math.” His PhD students van Almsick, Duits, Franken, (now Professor) Florack, Janssen, and Bekkers substantially contributed to the Mathematica packages on brain-inspired computing. He cochaired with Markus van Almsick the International Mathematica Symposium 2008 in Maastricht and teaches a popular national course on biologically inspired computing (book written in Mathematica), which was thrice awarded the BME Teaching Award. || Biotechnology, Image Processing, Mathematics
| 2013 || Bart ter Haar Romeny || [[Eindhoven University of Technology]] || A professor in [[Biomedicine|biomedical]] image analysis, Bart ter Haar Romeny uses [[Wolfram Mathematica|Mathematica]] to design brain-inspired image analysis methods for computer-aided diagnosis. He is an enthusiastic teacher, and introduced Mathematica as a design tool in the curriculum for all students of his department and in most projects in his group. He advocates that Mathematica is ideal for designing innovative algorithms and for “playing with the math.” His PhD students van Almsick, Duits, Franken, (now Professor) Florack, Janssen, and Bekkers substantially contributed to the Mathematica packages on brain-inspired computing. He co-chaired the International Mathematica Symposium 2008 with Markus van Almsick in [[Maastricht]] and teaches a popular national course on biologically inspired computing (book written in Mathematica), which was thrice awarded the BME Teaching Award. || Biotechnology, Image Processing, Mathematics
|-
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| 2013 || Keith Stroyan || [[University of Iowa]] || As a mathematics professor at the University of Iowa, Keith Stroyan was an early adopter of Mathematica in calculus courses, reaching around 6,000 students and 100 teaching assistants in 24 years. In 2005, he was awarded Teacher of the Year by the Mathematical Association of America based on his work developing Mathematica course materials. Stroyan also conducted an early study showing that students who used Mathematica in calculus courses performed better in subsequent courses, even in traditional courses without much technology. In addition to these achievements, Stroyan developed one of the first custom kernel Mathematica programs, Calculus Wiz, and published the first CDF in a scientific journal. His work on iMultiCalc 2013 CDF edition continues to push the boundaries in delivering textbook content. || Education, Mathematics
| 2013 || Keith Stroyan || [[University of Iowa]] || As a mathematics professor at the University of Iowa, Keith Stroyan was an early adopter of [[Wolfram Mathematica|Mathematica]] in [[calculus]] courses, reaching around 6,000 students and 100 teaching assistants in 24 years. In 2005, he was awarded Teacher of the Year by the [[Mathematical Association of America]] based on his work developing Mathematica course materials. Stroyan also conducted an early study showing that students who used Mathematica in calculus courses performed better in subsequent courses, even in traditional courses without much technology. In addition to these achievements, Stroyan developed one of the first custom kernel Mathematica programs, Calculus Wiz, and published the first CDF in a scientific journal. His work on iMultiCalc 2013 CDF edition continues to push the boundaries in delivering textbook content. || Education, Mathematics
|-
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| 2013 || Thomas Weber || HighQ-It || Thomas Weber is recognized as an expert on quantitative methods in finance and risk. Being a heavy user of Mathematica since Version 1.2, Thomas utilizes this powerful tool for his consultancy for big banks, energy suppliers, and other institutions. Over these many years he has extended Mathematica as needed. For example, he developed a database link long before the Data Access Kit was available. He also integrated different pricing libraries into Mathematica, which allow kinds of risk analysis that go way beyond what is normally possible within financial institutions. || Data Mining and Analysis, Finance, Financial Risk, Risk Analysis
| 2013 || Thomas Weber || HighQ-It || Thomas Weber is recognized as an expert on quantitative methods in [[finance]] and risk. Being a heavy user of [[Wolfram Mathematica|Mathematica]] since Version 1.2, Thomas utilizes this powerful tool for his consultancy for big banks, energy suppliers, and other institutions. Over these many years he has extended Mathematica as needed. For example, he developed a database link long before the Data Access Kit was available. He also integrated different pricing libraries into Mathematica, which allow kinds of risk analysis that go way beyond what is normally possible within financial institutions. || Data Mining and Analysis, Finance, Financial Risk, Risk Analysis
|-
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| 2013 || Jacqueline Zizi || MUM Research || Jacqueline Zizi is a passionate and family-centered individual (mother of six and grandmother of 14) who loves mathematics and computation. She has been using Mathematica as a programming language for education and teaching as well as providing her Wolfram Training instructor services all around France. Furthermore, she wrote a simulation tool for high-risk boat navigation (CGA, Alstom Group), a tour in a protein associating music and zooming for IHES, and a conjecture about Grothendieck invariants solved in the special case of graph theory for Professor O. Mathieu in abstract mathematics. Twenty years ago Jacqueline wrote a trilogy of books in French about general considerations in programming and mathematics for education purposes. After the national curriculum was changed, leading to “Polytechnique” and “Grandes Écoles,” she published a book following such a curriculum which, although old, is still for sale. || Education
| 2013 || Jacqueline Zizi || MUM Research || Jacqueline Zizi is a passionate and family-centered individual (mother of six and grandmother of 14) who loves [[mathematics]] and computation. She has been using [[Wolfram Mathematica|Mathematica]] as a [[programming language]] for education and teaching as well as providing her Wolfram Training instructor services all around [[France]]. Furthermore, she wrote a simulation tool for high-risk boat navigation (CGA, Alstom Group), a tour in a protein associating music and zooming for IHES, and a conjecture about Grothendieck invariants solved in the special case of [[graph theory]] for Professor O. Mathieu in abstract mathematics. Twenty years ago Jacqueline wrote a trilogy of books in [[French language|French]] about general considerations in programming and mathematics for education purposes. After the national curriculum was changed, leading to “Polytechnique” and “Grandes Écoles,” she published a book following such a curriculum which, although old, is still for sale. || Education
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| 2012 || Richard Anderson || || Richard Anderson is recognized for his pioneering use of gridMathematica to explore network properties using percolation and random graph theories. He has developed gridMathematica applications that use a probabilistic approach along with large-scale multiprocessor computing techniques to explore the underlying structure of complex networks. This work led to the development of new methodologies to identify nodes that are critical to network cohesion and connectivity. || High-Performance and Parallel Computing, Mathematics
| 2012 || Richard Anderson || || Richard Anderson is recognized for his pioneering use of gridMathematica to explore network properties using percolation and random graph theories. He has developed gridMathematica applications that use a [[Probability|probabilistic]] approach along with large-scale multiprocessor computing techniques to explore the underlying structure of complex networks. This work led to the development of new methodologies to identify nodes that are critical to network cohesion and connectivity. || High-Performance and Parallel Computing, Mathematics
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| 2012 || Rubén Berrocal & Marisa Talavera || Panama Government || Rubén Berrocal and Marisa Talavera are recognized for revolutionizing the teaching of mathematics and science in Panama by incorporating Wolfram technology into their curriculum. SENACYT adopted the first countrywide provision for the computational software to be installed in all universities, and led plans to install it in high schools. SENACYT has trained professors, researchers, and students in Mathematica across Panama, ensuring that the country will become a bastion of scientific education recognized throughout the world as a supreme destination for intellectual enlightenment. || Education, Mathematics
| 2012 || Rubén Berrocal & Marisa Talavera || Panama Government || Rubén Berrocal and Marisa Talavera are recognized for revolutionizing the teaching of [[mathematics]] and [[science]] in Panama by incorporating Wolfram technology into their curriculum. SENACYT adopted the first countrywide provision for the computational software to be installed in all universities, and led plans to install it in high schools. SENACYT has trained professors, researchers, and students in [[Wolfram Mathematica|Mathematica]] across Panama, ensuring that the country will become a bastion of scientific education recognized throughout the world as a supreme destination for intellectual enlightenment. || Education, Mathematics
|-
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| 2012 || W. Craig Carter || [[Massachusetts Institute of Technology]] || W. Craig Carter is recognized for his many uses of Mathematica over the years, starting with his PhD studies. He has tutored other MIT faculty with course examples in Mathematica to help their work, from the project planning stage forward. Craig has also used Mathematica for many years in his course “Mathematics for Materials Science and Engineers.” Craig’s achievements using Mathematica in his research include prototyping an idea with a start-up company to create a new type of battery. He also used Wolfram technology to collaborate on and help design an art piece feature at the Pompidou in Paris. || Computer Graphics and Visual Arts, Control Engineering, Materials Science
| 2012 || W. Craig Carter || [[Massachusetts Institute of Technology]] || W. Craig Carter is recognized for his many uses of [[Wolfram Mathematica|Mathematica]] over the years, starting with his PhD studies. He has tutored other MIT faculty with course examples in Mathematica to help their work, from the project planning stage forward. Craig has also used Mathematica for many years in his course “Mathematics for Materials Science and Engineers.” Craig’s achievements using Mathematica in his research include prototyping an idea with a start-up company to create a new type of battery. He also used Wolfram technology to collaborate on and help design an art piece feature at the [[Centre Georges Pompidou|Pompidou]] in [[Paris]]. || Computer Graphics and Visual Arts, Control Engineering, Materials Science
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| 2012 || Kazuhiro Iwadoh || [[Tokyo Women's Medical University]] || Dr. Kazuhiro Iwadoh is a medical doctor who studies biostatistics at Tokyo Women’s Medical University. He constructed a decision-making support system in Mathematica to estimate the possibility of injury to a transplanted organ by determining examining parameters that could change over time. The end result is a program that displays an array of a patient’s information such as prescription history and other factors, allowing the physician to select a treatment option tailored to the patient. Dr. Iwadoh hopes the system will contribute to a higher rate of success in organ transplants and for medical procedures in general. || Biology, Data Mining and Analysis, Risk Analysis
| 2012 || Kazuhiro Iwadoh || [[Tokyo Women's Medical University]] || Dr. Kazuhiro Iwadoh is a medical doctor who studies [[biostatistics]] at Tokyo Women’s Medical University. He constructed a decision-making support system in [[Wolfram Mathematica|Mathematica]] to estimate the possibility of injury to a transplanted organ by determining examining parameters that could change over time. The end result is a program that displays an array of a patient’s information such as prescription history and other factors, allowing the physician to select a treatment option tailored to the patient. Dr. Iwadoh hopes the system will contribute to a higher rate of success in organ transplants and for medical procedures in general. || Biology, Data Mining and Analysis, Risk Analysis
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| 2012 || Ryohei Miyadera || Kwansei Gakuin High School || Dr. Ryohei Miyadera wants his Kwansei Gakuin High School students to love mathematics and encourages them to perform advanced research in non-traditional ways. He teaches his students to use Mathematica to examine and realize their ideas even if they don’t yet know the high-level mathematics at work. Dr. Miyadera thinks Mathematica enables young people to enjoy mathematics because they aren’t focused on the calculation, but instead on the underlying concepts. A recent example of his students’ work in Mathematica made them finalists for the Asia region in the Google Science Fair 2012 competition. || Computer Science, Education, Mathematics
| 2012 || Ryohei Miyadera || Kwansei Gakuin High School || Dr. Ryohei Miyadera wants his Kwansei Gakuin High School students to love [[mathematics]] and encourages them to perform advanced research in non-traditional ways. He teaches his students to use [[Wolfram Mathematica|Mathematica]] to examine and realize their ideas even if they don’t yet know the high-level mathematics at work. Dr. Miyadera thinks Mathematica enables young people to enjoy mathematics because they aren’t focused on the calculation, but instead on the underlying concepts. A recent example of his students’ work in Mathematica made them finalists for the [[Asia]] region in the [[Google Science Fair]] 2012 competition. || Computer Science, Education, Mathematics
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| 2012 || Robert B. Nachbar || [[Merck & Co.|Merck Research Laboratories]] || Robert Nachbar is recognized for using Mathematica at Merck. He was instrumental in the Gardasil HPV vaccine project, turning a research-grade model created by his coworkers Elamin Elbasha and Erik Dasbach into a production-grade simulation package. Robert is responsible for the Wolfram|Alpha trial at Merck, has used Mathematica frequently in his research on viral dynamics for the hepatitis C virus, and has modeled clinical trial data. || Biology, Biotechnology, Pharmaceutical
| 2012 || Robert B. Nachbar || [[Merck & Co.|Merck Research Laboratories]] || Robert Nachbar is recognized for using [[Wolfram Mathematica|Mathematica]] at Merck. He was instrumental in the [[Gardasil]] [[HPV vaccine]] project, turning a research-grade model created by his coworkers Elamin Elbasha and Erik Dasbach into a production-grade simulation package. Robert is responsible for the [[Wolfram Alpha]] trial at Merck, has used Mathematica frequently in his research on [[viral dynamics]] for the [[hepatitis C virus]], and has modeled clinical trial data. || Biology, Biotechnology, Pharmaceutical
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| 2012 || Thomas Roux || [[BRED Banque populaire]] || Thomas Roux is recognized for developing an innovative web service solution for financial risk management, based on webMathematica and webUnRisk. Thomas has shown how Wolfram technologies are integral to the fundamental sustainability of the global banking system, from his native France to the United States. || Finance, Financial Risk, Risk Analysis
| 2012 || Thomas Roux || [[BRED Banque populaire]] || Thomas Roux is recognized for developing an innovative web service solution for financial risk management, based on webMathematica and webUnRisk. Thomas has shown how Wolfram technologies are integral to the fundamental sustainability of the global banking system, from his native [[France]] to the [[United States]]. || Finance, Financial Risk, Risk Analysis
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| 2012 || Fred Szabo || [[Concordia University]] || Fred Szabo is recognized for his contributions in education. Using the phrase “A New Kind of Learning” in his presentations to demonstrate Mathematica’s usefulness throughout an educational curriculum, Fred has showcased Mathematica in broad discussion about the greater use of technology in Canadian schools and universities, citing his own mathematics courses where close to 90% of the students find Mathematica engaging and fun to use. Fred was among the first to embrace online courses, and began a plan for a series of videos to teach students in less technical areas how to use Mathematica. A recipient of numerous teaching awards, including the President’s Award for Innovative Excellence in Teaching, Fred’s goal is to significantly contribute to global education, especially to making the instruction of mathematics more available in Latin America. || Education, Mathematics
| 2012 || Fred Szabo || [[Concordia University]] || Fred Szabo is recognized for his contributions in education. Using the phrase “A New Kind of Learning” in his presentations to demonstrate [[Wolfram Mathematica|Mathematica’s]] usefulness throughout an educational curriculum, Fred has showcased Mathematica in broad discussion about the greater use of technology in [[Canada|Canadian]] schools and universities, citing his own [[mathematics]] courses where close to 90% of the students find Mathematica engaging and fun to use. Fred was among the first to embrace online courses, and began a plan for a series of videos to teach students in less technical areas how to use Mathematica. A recipient of numerous teaching awards, including the President’s Award for Innovative Excellence in Teaching, Fred’s goal is to significantly contribute to global education, especially to making the instruction of mathematics more available in [[Latin America]]. || Education, Mathematics
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| 2011 || Philip Zecher || EQA Partners || As the Chief Risk Officer at EQA Partners, Philip Zecher designed, developed, and implemented a front-to-back trading system, from data acquisition to reporting, using Wolfram technologies. || Data Mining and Analysis, Economics, Finance, Risk Analysis
| 2011 || Philip Zecher || EQA Partners || As the Chief Risk Officer at EQA Partners, Philip Zecher designed, developed, and implemented a front-to-back trading system, from data acquisition to reporting, using Wolfram technologies. || Data Mining and Analysis, Economics, Finance, Risk Analysis
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| 2011 || Debra Woods || [[University of Illinois at Urbana-Champaign]] || Debra Woods develops and teaches courses for NetMath, an online math program at the University of Illinois. The courses use Mathematica-based modules that combine textbooks with interactive examples and illustrations to help students focus on mathematical concepts. || Authoring and Publishing, Computer Graphics and Visual Arts, Mathematics
| 2011 || Debra Woods || [[University of Illinois at Urbana-Champaign]] || Debra Woods develops and teaches courses for NetMath, an online math program at the University of Illinois. The courses use [[Wolfram Mathematica|Mathematica]]-based modules that combine textbooks with interactive examples and illustrations to help students focus on mathematical concepts. || Authoring and Publishing, Computer Graphics and Visual Arts, Mathematics
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| 2011 || Stan Wagon || [[Macalester College]] || Stan Wagon uses Mathematica for his teaching and research in computational dynamics, number theory, and Mathematical logic, and has published several books. He also created a square-wheeled bicycle and a track to ride it on, which landed him a spot in ''[[Ripley's Believe It or Not!]]'', and competes in the Breckenridge International Snow Sculpture Contest with ice sculptures based on mathematical objects. || Authoring and Publishing, Computer Graphics and Visual Arts, Mathematics, Mechanical Engineering
| 2011 || Stan Wagon || [[Macalester College]] || Stan Wagon uses [[Wolfram Mathematica|Mathematica]] for his teaching and research in computational dynamics, [[number theory]], and [[Mathematical logic]], and has published several books. He also created a square-wheeled bicycle and a track to ride it on, which landed him a spot in ''[[Ripley's Believe It or Not!]]'', and competes in the Breckenridge International Snow Sculpture Contest with [[ice sculpture]]s based on mathematical objects. || Authoring and Publishing, Computer Graphics and Visual Arts, Mathematics, Mechanical Engineering
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| 2011 || Michael Ulrey || [[Boeing]] || As part of the Advanced Air Traffic Management team at Boeing, Michael Ulrey develops quantitative models to study the safety of operations and make compelling safety cases to regulators. He has created 3D models to analyze flight paths of planes landing on parallel runways and simulate various situations. || Aerospace, Industrial Engineering, Interface Design, Signal Processing
| 2011 || Michael Ulrey || [[Boeing]] || As part of the Advanced Air Traffic Management team at Boeing, Michael Ulrey develops quantitative models to study the safety of operations and make compelling safety cases to regulators. He has created 3D models to analyze flight paths of planes landing on parallel runways and simulate various situations. || Aerospace, Industrial Engineering, Interface Design, Signal Processing
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| 2011 || Dana Scott || [[Carnegie Mellon University]] || Dana Scott was an early user of Wolfram technologies in teaching, including developing a Mathematica-based course in projective geometry. The co-inventor of nondeterministic finite automata, winner of the 1976 ACM Turing Award, and founder of domain theory, he continues to employ new Mathematica functionality in innovative ways, for example by using SatisfiabilityInstances to find tilings of pentominoes. || Computer Science, Mathematics
| 2011 || Dana Scott || [[Carnegie Mellon University]] || Dana Scott was an early user of Wolfram technologies in teaching, including developing a [[Wolfram Mathematica|Mathematica]]-based course in [[projective geometry]]. The co-inventor of [[Nondeterministic finite automaton|nondeterministic finite automata]], winner of the 1976 [[Turing Award|ACM Turing Award]], and founder of [[domain theory]], he continues to employ new Mathematica functionality in innovative ways, for example by using SatisfiabilityInstances to find tilings of [[pentomino]]es. || Computer Science, Mathematics
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| 2011 || Eric Schulz & [[Pearson Education]] || [[Walla Walla Community College]] || Eric Schulz, a mathematics instructor at Walla Walla Community College who created Mathematica’s Classroom Assistant palette, joined authors William Briggs, Lyle Cochran, and Bernard Gillett to write Calculus, an ebook published by Pearson Education in 2010. The textbook combines narrative material, examples, and exercises together with 650 interactive figures in an engaging and rigorous presentation. Using the free Wolfram CDF Player, students can immediately navigate through sections and explore the ebook’s interactive figures and intuitive text, which combine to bring hard-to-convey concepts to life. || Authoring and Publishing, Education, Interface Design, Mathematics
| 2011 || Eric Schulz & [[Pearson Education]] || [[Walla Walla Community College]] || Eric Schulz, a [[mathematics]] instructor at Walla Walla Community College who created [[Wolfram Mathematica|Mathematica’s]] Classroom Assistant palette, joined authors William Briggs, Lyle Cochran, and Bernard Gillett to write ''Calculus'', an ebook published by [[Pearson Education]] in 2010. The textbook combines narrative material, examples, and exercises together with 650 interactive figures in an engaging and rigorous presentation. Using the free Wolfram CDF Player, students can immediately navigate through sections and explore the ebook’s interactive figures and intuitive text, which combine to bring hard-to-convey concepts to life. || Authoring and Publishing, Education, Interface Design, Mathematics
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| 2011 || Diego Oviedo-Salcedo || [[Pontifical Bolivarian University]] || Diego Oviedo-Salcedo demonstrated innovative use of Wolfram technologies in the creation of homework, solutions, and presentations for his engineering classes, and also used Mathematica extensively for his PhD research. He is a Wolfram-certified instructor in Latin America. || Authoring and Publishing, Mathematics, Structural Engineering
| 2011 || Diego Oviedo-Salcedo || [[Pontifical Bolivarian University]] || Diego Oviedo-Salcedo demonstrated innovative use of Wolfram technologies in the creation of homework, solutions, and presentations for his [[engineering]] classes, and also used [[Wolfram Mathematica|Mathematica]] extensively for his PhD research. He is a Wolfram-certified instructor in [[Latin America]]. || Authoring and Publishing, Mathematics, Structural Engineering
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| 2011 || Ronald Kurnik || [[Roche Diagnostics|Roche Molecular Systems]] || Chemical engineer Ronald Kurnik develops medical devices, using Mathematica for rapid prototyping of algorithms for signal and image processing and for quantitative chemical reaction modeling. His work has led Roche to file for 15 patents, 7 of which have been issued so far. || Chemical Engineering, Image Processing, Pharmaceutical, Signal Processing
| 2011 || Ronald Kurnik || [[Roche Diagnostics|Roche Molecular Systems]] || [[Chemical engineer]] Ronald Kurnik develops medical devices, using [[Wolfram Mathematica|Mathematica]] for rapid prototyping of algorithms for [[signal processing|signal]] and [[image processing]] and for quantitative chemical reaction modeling. His work has led Roche to file for 15 patents, 7 of which have been issued so far. || Chemical Engineering, Image Processing, Pharmaceutical, Signal Processing
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| 2011 || Seth Chandler || [[University of Houston Law Center]] || Seth Chandler, director of the Program on Law and Computation, studies insurance policy, patent law, and other facets of the US legal system. After Hurricane Ike in 2008, Chandler analyzed catastrophe models and other data in Mathematica to show how the insurance market can better handle paying for hurricane damages. He developed several interactive Demonstrations to help examine the allocation of losses from hurricanes and used them in his testimony before the Texas legislature. || Actuarial Sciences, Economics, Financial Risk, Risk Analysis
| 2011 || Seth Chandler || [[University of Houston Law Center]] || Seth Chandler, director of the Program on Law and Computation, studies [[insurance policy]], [[patent|patent law]], and other facets of the US legal system. After [[Hurricane Ike]] in 2008, Chandler analyzed catastrophe models and other data in [[Wolfram Mathematica|Mathematica]] to show how the insurance market can better handle paying for hurricane damages. He developed several interactive Demonstrations to help examine the allocation of losses from hurricanes and used them in his testimony before the [[Texas legislature]]. || Actuarial Sciences, Economics, Financial Risk, Risk Analysis
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| 2011 || Steve Bush || [[Procter & Gamble]] || In Steve Bush’s role developing household consumer items at The Procter & Gamble Company, he’s involved in the physics behind products as well as their economic feasibility. His work with Mathematica includes developing sophisticated tools for computer-aided design and optimizing the orifice size needed to maximize jet momentum, as well as setting up an efficient workflow from idea to prototype. || Computer Graphics and Visual Arts, Industrial Engineering, Physics
| 2011 || Steve Bush || [[Procter & Gamble]] || In Steve Bush’s role developing household consumer items at The Procter & Gamble Company, he’s involved in the [[physics]] behind products as well as their economic feasibility. His work with [[Wolfram Mathematica|Mathematica]] includes developing sophisticated tools for computer-aided design and optimizing the orifice size needed to maximize jet momentum, as well as setting up an efficient workflow from idea to prototype. || Computer Graphics and Visual Arts, Industrial Engineering, Physics
|}
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Revision as of 16:20, 23 October 2018

Wolfram Research, Inc.
Key people
President & CEO, Stephen Wolfram Director of Strategic Development & Wolfram Research Europe Limited CEO,
SystemModeler, Wolfram Programming Lab
OwnerPrivately held
Number of employees
~800
DivisionsWolfram Media Inc., Wolfram Research Europe Ltd. in the United Kingdom, Wolfram Research Asia Ltd. in Japan and Wolfram Research South America in Peru.
Websitewolfram.com

40°05′50″N 88°14′44″W / 40.097128°N 88.245690°W / 40.097128; -88.245690

Wolfram Research is a private company that creates computational technology. Wolfram's flagship product is the

CEO
.

The company launched

answer engine on May 16, 2009. It brings a new approach to knowledge generation and acquisition that involves large amounts of curated computable data in addition to semantic indexing of text.[1]

Wolfram Research acquired MathCore Engineering AB on March 30, 2011.[2][3]

On July 21, 2011 Wolfram Research launched the Computable Document Format (CDF). CDF is an electronic document format[4] designed to allow easy authoring[5] of dynamically generated interactive content.

In June 2014, Wolfram Research officially introduced the

Mathematica.[7]

Other products include

webMathematica, the Wolfram Development Platform,[10] and the Wolfram Programming Lab.[11]

Wolfram Research served as the mathematical consultant for the

Numb3rs, a show about the mathematical aspects of crime-solving.[12]

Products and resources

Mathematica

Main article: Wolfram Mathematica

Mathematica is a modern

image processing, geometry, data science, visualizations, and others. The system is used in many technical, scientific, engineering, mathematical, and computing fields. In addition to the computational abilities of the system, Mathematica includes a unique and powerful notebook interface
. Computational notebooks can be structured using a hierarchy of cells, which allow for outlining and sectioning of a document and support automatic numbering index creation. Documents can be presented in a slideshow environment for presentations and their contents are represented as Mathematica expressions that can be created, modified or analyzed by Mathematica programs or converted to other formats.

Wolfram|Alpha

Main article:
Wolfram Alpha

Wolfram Alpha is a free online service that answers factual queries directly by computing the answer from externally sourced curated data, rather than providing a list of documents or web pages that might contain the answer as a search engine might. Users submit queries and computation requests via a text field and Wolfram Alpha then computes answers and relevant visualizations.

On February 8, 2012, Wolfram Alpha Pro was released, offering users additional features(e.g., the ability to upload many common file types and data — including raw tabular data, images, audio, XML, and dozens of specialized scientific, medical, and mathematical formats — for automatic analysis) for a monthly subscription fee.

Wolfram SystemModeler

Main article: Wolfram SystemModeler

Wolfram SystemModeler is a platform for engineering as well as life-science modeling and simulation based on the Modelica language. It provides an interactive graphical modeling and simulation environment and a customizable set of component libraries. The primary interface, ModelCenter, is an interactive graphical environment including a customizable set of component libraries. The software also provides a tight integration with Mathematica. Users can develop, simulate, document, and analyze their models within Mathematica notebooks.

Wolfram Challenges

Wolfram Challenges is a free online collection of computational thinking problems designed to provide users with a fun and interactive method of learning. Using the Wolfram Language, the challenges range in levels of difficulty to provide opportunity for beginners through the most seasoned individual, and can range from pure algorithms, real-world questions requiring the use of the Wolfram Knowledgebase, or mathematics. Each challenge maintains a leaderboard tracking various achievements such as shortest code length, fastest time to successfully answer, and the names of everyone who has submitted the correct answer. The challenges are available in Mathematica notebook format and can either be downloaded to your desktop or opened directly in your web browser using the Wolfram Cloud. Users are also given the opportunity to submit their own new challenges for inclusion in the program.

Neural Network Repository

On June 14, 2018, Wolfram Research officially launched the Wolfram Neural Net Repository.

image processing, regression, semantic segmentation, speech recognition, object detection, and language modeling
.

Publishing and Innovation

Wolfram Research publishes several free websites including the MathWorld and ScienceWorld encyclopedias. ScienceWorld, which launched in 2002, is divided into sites on chemistry, physics, astronomy and scientific biography.[14] In 2005, the physics site was deemed a "valuable resource" by American Scientist magazine.[15] However, by 2009, the astronomy site was said to suffer from outdated information, incomplete articles and link rot.[16]

The Wolfram Demonstrations Project is a collaborative site hosting interactive technical demonstrations powered by a free Mathematica Player runtime.

Wolfram Research publishes The Mathematica Journal.[17] Wolfram has also published several books via Wolfram Media, Wolfram's publishing arm.[18][19]

Wolfram Research has organized three Wolfram Science conferences in Boston, MA, Washington, D.C. and Burlington, VT in the United States in the years 2003, 2006 and 2007 respectively. Two other independent NKS Midwest conferences have taken place at the Indiana University, Bloomington in 2005 and 2008. Other independent workshops related to NKS research have also been organized overseas, such as JOUAL (Just One Universal Algorithm) at the CNR in Pisa, Italy in 2009.

Wolfram Research hosts the yearly Wolfram Technology Conference in Champaign, IL.[20] During this three-day conference, developers discuss the latest Wolfram technologies for mobile devices, cloud computing, interactive deployment, and more.

Wolfram Research also hosts the annual Wolfram Data Summit, a high-level gathering of innovators in data science.[21]

They are experimenting with electronic textbook creation.[22]

Innovator Awards

Beginning in 2011, Wolfram Research has annually honored those who are making new and important uses of Wolfram technologies in their respective industries or fields of research with the Wolfram Innovator Award.[23] The following table lists each Wolfram Innovator Award winner.

Year Awarded Innovator Organization Recognized for Areas of Concentration
2018 Nassim Nicholas Taleb New York University Tandon School of Engineering Nassim Nicholas Taleb spent 21 years as a risk taker (quantitative trader) before becoming a researcher in philosophical, mathematical and (mostly) practical problems with probability. Taleb is the author of a multivolume essay, the Incerto (The Black Swan, Fooled by Randomness, Antifragile, and Skin in the Game) covering broad facets of uncertainty. It has been translated into 36 languages. In addition to his trader life, Taleb has also written, as a backup of the Incerto, more than 50 scholarly papers in
statistical physics, statistics, philosophy, ethics, economics, international affairs, and quantitative finance
, all around the notion of risk and probability. Taleb is currently Distinguished Professor of Risk Engineering at NYU's Tandon School of Engineering where his current focus is on the properties of systems that can handle disorder.
2018 Neil Singer AC Kinetics, Inc. Neil Singer formed Convolve Inc. in 1989. It was a company that spun off from research he had been doing at MIT, aimed at reducing vibrations in electric machines. In 2013 he went on to form AC Kinetics, a company which specializes in reducing electrical motor energy consumption and enhancing their performance and has been using SystemModeler and Mathematica to achieve this. Using Mathematica and SystemModeler, AC Kinetics are able to verify their real digital motor controllers in a simulated environment. In some applications, they have used this workflow to achieve as high energy savings as half of the total energy. They report that with their workflow using SystemModeler and Mathematica of simulated verification and testing they have achieved significant time savings over conventional approaches to controller design.
2018 Aaron Santos EMC Insurance Aaron Santos started using the Wolfram Language in 1999 as a sophomore in MIT's J-term mechanics course. Even in that early version, Aaron could see the language was fundamentally different than others. If he wanted to do anything substantial in C or Java, it was going to take hours of coding or searching through libraries/packages that may or may not be relevant. Wolfram Language was also integral to his graduate work as a postdoc. The insurance industry is undergoing a revolution in technology because of big data and IoT devices. Aaron uses the Wolfram Language partly because it's highly automated, so it's great for rapid prototyping and modeling, but also because the Wolfram Language allows their company to easily step outside the traditional data science box and explore more innovative solutions to problems. Aaron is currently part of a 3-man startup company that has created a nanotechnology device capable of determining genetic makeup of a product (i.e. corn) within 10 minutes, whereas the industry standard is presently about 50-60 minutes per sample. They are patent-pending and have produced both a methodology as well as a device for executing said methodology.
2018 Jorge Ramirez National University of Colombia Jorge Ramirez is an Applied Mathematician with special interest in the natural sciences. He is currently the lead researcher working on several research and educational projects where Mathematica is a key tool. Those projects include Pattern formation in ant colonies by tropotaxis, Nonlinear transport in breaking oceanic waves, invariant distribution of runoff in watersheds under stationary rainfall, and Glucose level predictions for Type 1 diabetics patients. Further, Jorge is the coordinator of the differential calculus class on his campus, which involves teaching and testing 1700 students divided in 24 sections.
2018 Nicholas Mecholsky Catholic University of America & Vitreous State Laboratory Nicholas Mecholsky uses
Data Mining. In Hanford, Washington--there is 53 million gallons of High Level waste Stored in 177 tanks, and 200 miles square miles of contaminated groundwater. The goal is to vitrify nuclear waste to change into glass. The liquid form is a huge problem since the sludge separates and the concrete and steel barriers degrade much faster than the radioactive material lasts. Nicholas uses Mathematica to arrange all the tanks of different additives and mix them to find the optimization of additives to make the glass. This is the largest nuclear waste Vitrification
Pilot program in the world. As a result, they have created new compositions, tested the different attributes, and built predictive models. Currently they make new glasses and test them, then update model, and repeat. Part of the success they have had is predicting a particular type of crystal structure form called "Nephylene", and the models to identify it. The crystal creates problems in the Glass so that the Nephylene does not exist. Knowing whether or not it is happening is very important, and Mathematica is used to model this. Through the use of Mathematica, they will be starting the Vitrifying process in Hanford, Washington in 2024.
2018 David Creech McDermott International David Creech is a Licensed Professional Engineer with 20 years experience leading research and development, engineering services groups, business development, project management, and execution of a wide range of highly-technical engineering projects. One of the challenges his company faced was a catalog of hundreds of in-house FOTRAN and Excel programs for performing engineering calculations on the company's specialized products. The programs needed to be updated to comply with changes in industry standards and offer better usability. At the same time, David wanted to make these calculations more accessible to the engineers and to allow them to customize and recombine them to make innovation easy. He started a large initiative to replace their most critical calculations with Mathematica packages. Since 2012, they've had up to a dozen engineers and developers working on specifications, development, validation and documentation. They know have a very large system of packages, with hundreds of thousands of lines of MMA code and thousands of pages of documentation. Of particular importance to David, they are now reaching a critical point in both code base and user experience where their users are moving their own calculations to Mathematica and combining them with their packages to make new tools for engineering their products more efficiently.
2018 Bruce Colletti Bruce Colletti has participated in various governmental classified consulting projects throughout his career. He has also used Mathematica to prepare classroom instruction (and "after class" extracurricular instruction for students who wanted to learn about other areas of mathematics). In 2009, Northern Virginia Community College awarded him with the Netherton Award for Excellence and in 2010, and named him Adjunct Faculty of the Year (an award bestowed upon him by the students). Bruce has stated that Mathematica made both honors possible.
2018 Abby Brown Torrey Pines High School Abby Brown has done a lot of work to help other teachers understand her course content to give them a jump-start to teaching with Mathematica. She has demonstrated her materials first-hand during conferences and in her community and is a great advocate for Wolfram. At hackathons, even on the opposite coast at places like Princeton, MIT, Harvard, and Yale, it's common to run into students who used Wolfram Language in Abby's classes and continue to use Wolfram Language in college because of that experience.
2017 Marco Thiel Institute for Pure and Applied Mathematics & Institute for Complex Systems and Mathematical Biology Marco Thiel is a professor at the University of Aberdeen who uses Wolfram technologies in various domains, including education and research. A true evangelist, he has introduced hundreds of students and industry professionals alike to the Wolfram Language, and is an active user on Wolfram Community. For the last two years, Dr. Thiel has been using the Wolfram Language to develop algorithms and analyze sensor data of subjects in clinical dementia trials. The analysis is performed on large datasets through the external devices of subjects, and predictive tools, which determine changes in brain connectivity as dementia develops, are created. In his classes, Dr. Thiel utilizes CDF documents to create interactive lecture notes for his students. Using real-world data, students are able to connect topics they learn in other courses through simulations done in real time, instilling computational thinking into students long after they finish the course. Complex Systems, Education, Mathematical Biology, Physics
2017 Youngjoo Chung Gwangju Institute of Science and Technology Dr. Chung is a professor at the Gwangju Institute of Science and Technology, and has created an extensive symbolic computing package for versatile manipulation of mathematical expressions using the Wolfram Language. His package includes over 800 functions ranging from basic algebra to functional analysis. The package also contains its own interpreter language, complete online documentation and two palettes for increased ease of execution. Additionally, Dr. Chung maintains the South Korean Mathematica Users group, and is a highly active member of the international community using Wolfram technologies. Authoring and Publishing, Education
2017 Tarkeshwar Singh Quiet Light Securities Dr. Singh is a quantitative analyst and software engineer at Quiet Light Securities and an early adopter of Wolfram Finance Platform. In conjunction with the CTO, Robert Maxwell, Dr. Singh brought Finance Platform on board to support daily derivative trading operations by developing extensive strategies and volatility surface models, as well as performing backtesting with intraday market tick data. He also provided daily snapshots of company-wide risk through CDF documents that provided insights and satisfied compliance requirements. He also developed an internal training program to bring quants up to speed with Wolfram technologies. In the future, he hopes to utilize the machine learning capabilities of the Wolfram Language to develop advanced trading algorithms through neural networks. Authoring and Publishing, Finance, Machine Learning, Risk Management
2017 Chris Reed The Aerospace Corporation Dr. Reed is an applied mathematician at Aerospace Corporation who uses Mathematica to identify and create various aerospace solutions specific to rocket and satellite design and testing. A certified instructor at Aerospace Corp., he has introduced many colleagues to Wolfram technologies through his classes, where it has become a staple for experimentation. Dr. Reed has two approved patents that involve solving nonlinear boundary-value problems and rely on the Wolfram Language’s modeling and visualization capabilities. Aerospace, Applied Mathematics, Authoring and Publishing, Physics
2017 Peter Nilsson Deerfield Academy Peter Nilsson is an English teacher and the Director of Research at Deerfield Academy. Earlier this year, he led the development of an introductory course in digital humanities using the Wolfram Language. Designed for students with minimal coding experience, the course focused on four different projects blending students’ previous knowledge from English courses with basic computational concepts—allowing them to dive deeper into and perform textual analysis on famous novels as well as their own writing. Computational Humanities, Education
2017 David Milner Science Applications International Corporation David Milner is a research engineer at SAIC who was introduced to Wolfram technologies in 2016 through Wolfram SystemModeler. His project was the development and simulation of an octocopter—with all aspects of design, including every mechanical, electrical and control system, modeled with SystemModeler and the Wolfram Language. David’s project is now being presented as a potential solution for a vertical takeoff aircraft. Aerospace, Mechanical Engineering
2017 Mathematical Methods Computer-Based Exam System Team Victorian Curriculum and Assessment Authority For the last six years, the VCAA has conducted a trial aligning the use of computers in curriculum, pedagogy and assessment. This trial involved a number of schools and several hundred students to develop effective methodologies for combining the use of Wolfram technologies and teaching. The trial was successful, resulting in a widespread acceptance of computer-based examinations with 700,000 Victoria students and teachers now having access to Wolfram’s educational-focused tool suite. Education
2017 Massimo Fazio University of Alabama at Birmingham Dr. Fazio is an assistant professor at the University of Alabama at Birmingham whose main focus is optical imaging. His research using Wolfram technologies led to several significant NIH grants, including the 2017 Xtreme Research Award from Heidelberg Engineering at the Association for Research in Vision and Ophthalmology (ARVO) meeting. This award was granted to Dr. Fazio for creating a custom clinical imaging protocol for glaucoma patients that provides an estimate of the eye-specific mechanical response to time-varying intraocular pressure. Additionally, he created an image processing algorithm that quantifies the 3D structure of the optic nerve from OCT clinical data entirely in the Wolfram Language. Biotechnology, Image Processing, Mechanical Engineering
2017 Andrew Yule Assured Flow Solutions Andrew Yule is a flow assurance specialist at Assured Flow Solutions who developed an internal toolkit written entirely using the Wolfram Language and deployed it to his colleagues through EnterpriseCDF. Containing over 40 different calculations and workflows that are used daily throughout the company, this toolkit centralized Assured Flow Solutions utilities and has completely changed the way the entire organization views data analytics and visualizations. He also uses the Wolfram Cloud to deploy APIs that run calculations as a back end to Visual Basic UIs. Authoring and Publishing, Chemical Engineering, Data Analytics, Fluid Dynamics
2016 Bryan Minor Acquisio Bryan Minor leads algorithm development and associated intellectual property development as chief scientist at Acquisio in
Bing and Yahoo! Japan. Minor uses Mathematica and the Wolfram Language
for research and data analysis, with algorithm implementation being focused on the API micro-service architecture of Wolfram Enterprise Private Cloud.		 Advertising, Data Analysis, Research and Analysis
2016 Richard Scott Icahn School of Medicine at Mount Sinai Richard Scott is part of a small group of engineers, pathologists and business development professionals at the pathology department at Mount Sinai working to commercialize image-based prostate cancer prediction models. The design of the analysis algorithms and the majority of the system development and testing were done using Mathematica and the Wolfram Language. One of the key technical advances of Scott’s system is its ability to accurately segment gland rings and fragments from prostate tissue across the full range of disease presentations using a Delaunay triangulation and Voronoi analysis. Bioimaging, Biomedical Research, Biostatistics
2016 Brian Kanze Georgia-Pacific As data scientist and concept design leader at Georgia-Pacific, Brian Kanze uses Wolfram technologies to bring innovation to Georgia-Pacific’s consumer products division. He developed a large-scale analysis and reporting tool to assist building owners and managers in forecasting product usage, reporting availability and planning work shifts according to peak usage times. Georgia-Pacific is pioneering new software-based analytic services using Wolfram Language-based technology, and Kanze’s work has identified key areas where this technology can be used to enhance performance and analysis. Data Analysis, Data Science, Research and Analysis
2016 Samer Adeeb University of Alberta As an associate professor in the Department of Civil and Environmental Engineering at the University of Alberta, Samer Adeeb uses Mathematica in teaching continuum mechanics, solid mechanics and finite element method courses, introducing approximately 250 undergraduate and graduate students to the Wolfram Language each year. In addition to advocating for Mathematica’s use on campus, Adeeb provides a free, online civil engineering text utilizing webMathematica. In the future, he plans to transition his site and course materials to Mathematica Online. He is the author of the book Introduction to Solid Mechanics and Finite Element Analysis Using Mathematica, published in 2011. Civil Engineering, Education, Environmental Engineering
2016 Maik Meusel University of Zurich Maik Meusel is the chair of quantitative business administration at the University of Zurich’s Department of Business Administration. He uses Mathematica and the Wolfram Language to improve the online assessment process. While most assessments use standard multiple-choice questions, Meusel creates dynamic, more sophisticated and individualized questions that allow educators to more accurately assess a student’s mastery of learning objectives. In June 2016, he presented on the topic “Solving Real-World Business Problems in the Classroom” at the Wolfram European Technology Tour. Business Administration, Business Analysis, Education
2016 Ruth Dover Illinois Mathematics and Science Academy Ruth Dover is a math instructor at the Illinois Mathematics and Science Academy (IMSA) in Aurora, Illinois. As an early adopter of Mathematica, in 1991 she oversaw its installation on IMSA computer lab machines for use with calculus courses for precollege students. Dover was a primary courseware contributor for the Mathematica Teacher’s Edition, shaping how instructors used it to teach math courses. Dover has taught thousands of students how to use Mathematica and the Wolfram Language over the course of her career. She is the author of two Wolfram Demonstrations and was the 1998 recipient of a Wolfram High School Grant. Calculus, Education, Mathematics
2015 ValueScape Analytics, Inc The team at ValueScape Analytics uses the Wolfram Language and Wolfram technologies to build the cloud-based computational back end for their platform. ValueScape is an innovative data science company providing real estate analytics solutions through Valuation Navigator, an iOS application for appraisers and lending institutions. The company leverages the Wolfram Language running in the cloud to provide statistical analysis, visualization, density plots, and geographic data integration. Data Science, Engineering, Mechanical Engineering
2015 Phil Maymin New York University Tandon School of Engineering Dr. Philip Z. Maymin recently joined Vantage Sports as their Chief Analytics Officer, in which role he helps oversee and create machine learning algorithms, novel visualizations, live interactive tools, backtests, and other robust automated insights from the Vantage dataset. He developed the automated general manager, a suite of CDFs that includes draft projections, trade evaluations, and free agent rankings. It allows users to backtest a systematic strategy and compare it with a team’s actual performance using Mathematica’s machine learning algorithms and performance data. Maymin’s next project is to launch the Analytics Institute of the University of Bridgeport School of Business, with the Wolfram Language as the program’s cornerstone. Applied Mathematics, Computer Science, Finance
2015 Grant Bunker Illinois Institute of Technology Grant Bunker first used Mathematica at the Illinois Institute of Technology in 1988 as a beta tester. Since then, he has given numerous talks on Mathematica, encouraging a variety of academic organizations to adopt it in education. Also a longtime commercial user, Bunker founded Quercus X-ray Technologies, LLC, maker of X-ray filtering devices produced with core algorithms developed in the Wolfram Language. Bunker has plans to adopt Mathematica Online for the approximately 3,000 iPads issued to students at IIT—one of the largest campus-coordinated curriculum efforts involving tablets to date in the US. Education, Molecular Biology, Physics
2015 Luci Ellis Reserve Bank of Australia Dr. Luci Ellis is Head of the Financial Stability Department at the Reserve Bank of Australia, where she led a team of IT developers to create a new internal graphing development process, GraphIT, which creates Mathematica chart objects using .NET Framework. Dr. Ellis has held various positions in economic analysis research and worked on the global macroeconomics team of the Bank for International Settlements in Basel, Switzerland. She has written on a range of economic and financial topics, including exchange rates, housing prices, mortgage finance, and factor income shares, and she co-moderates the Mathematica Stack Exchange site under the pseudonym Verbeia. Dr. Ellis continues to advocate for employee adoption of Mathematica and the publishing of CDF-deployed charts while minimizing the Reserve Bank of Australia’s dependency on Excel. Economic Research and Analysis, Economics, Finance
2015 George (Dave) Lawrence Oregon National Primate Research Center George (Dave) Lawrence first used Mathematica in his work with the gamma ray observatory at Hughes Aircraft Company and today uses it as a basis for the computational integration of biomedical workflows at the Oregon National Primate Research Center. Although he starting using Mathematica for his own population modeling, Lawrence has since helped five hundred medical researchers adopt the Wolfram Language for data analytics. In addition, his ARSTools (Animal Resource System Tools) package linked diverse lab datasets and democratized data for all researchers. After his data analytics system was shown to improve the efficiency of planning new clinical trials by 50%, three other primate research centers began using Wolfram Language applications and EnterpriseCDF technology. Biomedical Research, Engineering Physics
2015 Joseph Hirl Agilis Energy, LLC. Joseph Hirl started using Mathematica at Enron in the late 1990s. (His group had originally purchased Maple, but broke it within a week.) After making the switch to Wolfram technologies, Hirl developed a commercial tool that analyzes and visualizes energy data for organizations’ buildings. Using “smart meter” data as input—and through extensive processing, pattern recognition, and image visualization—Hirl and his team are able to provide insights related to a building and its behavior under a wide range of conditions. Using EnterpriseCDF as a reporting tool, he demonstrates existing energy inefficiencies and recommends opportunities for improvement through CDF-powered tables, charts, and MRI-like visualizations. Electrical Engineering, Nuclear Engineering
2015 Kale Wallace Samson Energy Kale Wallace first started using
image processing
. At Southwestern Energy, Wallace built a well productivity prediction model analyzing millions of lines of data and using machine learning to predict well performance based on drilling and completion parameters. He has also created field-development visualizations showing wells brought online and their corresponding production and cashflow. His replication of the ARIES economics engine in Mathematica allowed probabilistic (Monte Carlo) economics methods, full-field development scenarios, break-even calculations, and go-forward recommendations to be evaluated much more quickly than could be done in ARIES.		 Chemical Engineering, Image Processing
2015 Mark Adler Low Density Supersonic Decelerator Project Mark Adler is best known for his work in the field of data compression as the author of the Adler-32 checksum function, and as co-author of the zlib compression library and gzip. He was also the Spirit Cruise Mission Manager for the Mars Exploration Rover Mission and is an instrument-rated private pilot, a certified scuba diver, and an amateur theater actor. Mark has used Mathematica for decades, including during his work on the Mars Exploration Mission. Using NDSolve and numeric integers, the team simulated entry through a variety of changing conditions to mitigate risk and more accurately predict a successful landing. Electrical Engineering, Mathematics, Physics
2015 Paul Abbott University of Western Australia Paul Abbott has used Mathematica extensively for research in wavelets and few-body atomic physics and to explore problems in computational and mathematical physics. He received a computational science award for his course in computational physics and has lectured on Mathematica in the United States, Japan, Singapore, Thailand, and India, and at several Australian universities. Abbott worked for Wolfram Research from 1989 to 1991, has served as a contributing editor of The Mathematica Journal since 1990, and has worked as a consultant to Wolfram Research since 1997. Applied Mathematics, Computational Physics, Image and Signal Processing, Mathematical Modeling, Mathematics Courseware Design, Theoretical Physics
2015 Juan Pablo Carvallo Vega Ecuador National Network of Research and Education Dr. Carvallo’s long-term vision for using Wolfram technologies to innovate education and research in Ecuador has introduced academic services and professional research previously unknown or underused in
Telemedicine
, and high-performance computing services. Under his leadership at CEDIA (National Research and Education Network of Ecuador), Dr. Carvallo leverages Wolfram technologies to develop, document, and systematize education and research efforts and resources in Ecuador. He is devoted to creating the next generation of scientific, educational, and research talent needed to support a knowledge-driven economy within the country.		 Software Engineering, Systems Engineering, Telecommunication and Network Management
2015 André Koppel André Koppel Software GmbH André Koppel has worked in the field of measurement systems for over thirty years, developing robust software for intensive use in a wide variety of fields. His most recent project is the development of a modular software system for insolvency management, called INVEP, which uses the Wolfram Language to power its analytical engine. INVEP is capable of processing and analyzing accounts with more than 100,000 entries within seconds. He also teaches a course in insolvency analysis, using Mathematica, at the University of Applied Sciences in Schmalkalden. C, Data Analysis, Embedded Systems, Financial Analysis, Insolvency Analysis, Programming, QNX, Software Development, Visualization
2015 UnRisk Development Team MathConsult GmbH and uni software plus GmbH MathConsult GmbH and uni software plus GmbH share this award for their work in the development and continued success of the UnRisk family of products, built on the Wolfram Language and used in the finance industry for financial derivatives and risk analytics. The two companies are closely linked, working together on numerous other industrial mathematics consultancy projects, and are based at the Johannes Kepler University Linz. They have been long-term advocates of Wolfram technologies, a byproduct of the strong sales and marketing partnership uni software plus has had with Wolfram for over two decades. Financial Analysis, Industrial Mathematics, Risk Management, Software Development
2014 Richard J. Gaylord
University of Illinois at Urbana–Champaign
 Richard Gaylord is one of Mathematica’s earliest users and is a self-described evangelist for the Wolfram Language. He taught computer programming in the Wolfram Language at many universities, companies, government agencies, and scientific conferences for more than 25 years. He has co-authored several texts, including An Introduction to Programming with Mathematica, and three other books on programming computer simulations in a wide variety of fields using the Wolfram Language. Authoring and Publishing, Authoring in Mathematica, Biology, Computer Science, Computer-Aided Education, Education, Physics
2014 János Karsai University of Szeged János Karsai has been using Mathematica since 1994 in teaching and research. He teaches mathematics and Mathematica-aided modeling to math, pharmacy, biology, and engineering students in Szeged and Berlin, and has given several Mathematica trainings of different levels and topics in Hungary, Czech Republic, Serbia, and Romania. He has supervised several outstanding students in Mathematica-related research. Karsai applies Mathematica experiments in his research; works on modernizing mathematical education, especially in applied sciences; and manages several projects in these fields. He developed a package and wrote a book on impulsive systems with Mathematica in 2002 and has prepared several dynamic teaching materials in Mathematica for his courses. Authoring in Mathematica, Computer-Aided Education, Impulsive Systems, Modeling Dynamical Systems with Mathematica, Nonlinear Oscillations, Population Dynamics
2014 Mark Kotanchek Evolved Analytics Mark Kotanchek left Dow Chemical in 2005 to form the startup Evolved Analytics. DataModeler, one of the largest Mathematica applications produced outside of Wolfram Research, handles data modeling via evolutionary programs. It also performs data analysis and makes sophisticated use of both user interface and kernel technology. At the 2014 Wolfram Technology Conference, Kotanchek revealed a GUI for DataModeler that makes it even easier to use Wolfram’s world-class analysis capabilities. Data Mining and Analysis, Economics, Financial Risk, Mathematica Consulting, Probability Theory, Risk, Risk Analysis
2014 John Michopoulos United States Naval Research Laboratory John Michopoulos uses Mathematica in his professional research with composite materials and has been published in the International Journal for Multiscale Computational Engineering, Composite Structures, and the Journal of Computing and Information Science in Engineering. He applies the global optimization capabilities of Mathematica to solve inverse problems and better understand the physics of materials and composite material designs. Control, Control Engineering, Materials Science, Modeling Dynamical Systems with Mathematica, Physics, System Modeling
2014 Rodrigo Murta St. Marche Supermercados Rodrigo Murta is Retail Intelligence Manager for St Marche Supermercados, a high-end supermarket chain, and the first customer to purchase Mathematica Enterprise Edition in Brazil. He uses Mathematica as a hub for all of the company’s data, workflows, computation, and processing, and EnterpriseCDF to construct reports for store managers and company executives. He is currently experimenting with a web-based report interface that provides even greater access to intelligence reports. Data Mining and Analysis, Economics, Finance, Interface Design, Physics, Population Dynamics, Risk, Risk Analysis
2014 Yves Papegay French Institute for Research in Computer Science and Automation Yves Papegay integrates new Wolfram technologies into his workflow and has used Wolfram Development Platform (formerly Wolfram Programming Cloud) and Mathematica on Raspberry Pi for his robotics projects. Papegay is also a Wolfram certified instructor and develops industrial Mathematica tools for C code generation in the aerospace and energy industries for companies including Airbus and French energy company, EDF. Authoring and Publishing, Computer Science, Education, Mathematics
2014 Frank Scherbaum University of Potsdam Frank Scherbaum, a professor of geophysics at the University of Potsdam, has been using Wolfram technologies since Mathematica 1. He has developed packages for signal processing, seismology, and seismic hazard analysis, which are widely used in research and teaching. His most recent book on probabilistic seismic hazard analysis, developed with the help of his students Nico Kuehn and Annabel Hëndel, covers widely diverse areas such as probability theory, earthquake seismology, strong motion processing, and geotechnical engineering, and has been fully generated with Mathematica and CDF technology. In addition, he uses Mathematica extensively as a hobby musicologist to explore new ways to represent and classify polyphonic vocal music. Musicology, Probability Theory, Seismology, Signal Processing
2014 Chad Slaughter Enova Financial At Enova Financial, Chad Slaughter used Mathematica’s deep analysis capabilities to better understand the relationship between performance data and top-level business metrics. This led to the Colossus Project, a completely automated platform that handles Enova’s online loan approval system and can process more than 20,000 loans per hour. Now a consultant, Slaughter is also using Wolfram Development Platform (formerly Wolfram Programming Cloud) to create solutions for Eligo Energy. Actuarial Sciences, Data Mining and Analysis, Economics, Finance, Financial Risk, Risk, Risk Analysis
2014 Bruce Torrence
Randolph-Macon College
 Bruce Torrence is the author of numerous Mathematica books and articles including The Student’s Introduction to Mathematica, a popular general reference book for students and educators. In addition to publishing dozens of articles on the use of Mathematica in education and research, Torrence recently completed a five-year editorship at Math Horizons and is a Wolfram Science Summer School alumni. Authoring and Publishing, Authoring in Mathematica, Computer Graphics and Visual Arts, Computer-Aided Education, Education, Mathematics
2013 Frank Brand Berlin School of Economics and Law Physicist, Frank Brand teaches courses in business mathematics, statistics, econometrics, and optimization using Mathematica. He has used Mathematica for many years, starting with his PhD thesis, “Optimization of Complex Optical Systems with Evolution Strategies.” Frank’s achievements using Mathematica in his research include the automatic construction of quality functions related to optimization problems. He also used Wolfram technology to write books—very recently he published a book on the analysis of complex systems, based on applications of graph theory. Finance, High-Performance and Parallel Computing, Industrial Engineering Economics, Mathematics
2013 Stefan Braun SmartCAE Stefan Braun is recognized for using Mathematica in industrial applications. He has used Mathematica and the SmartCAEFab in more that 150+ industrial projects in different application areas. SmartCAE’s software solutions allow practical users to simulate complex applications problems, with a lot of parameters, without being a simulation or Mathematica expert. Aerospace, Biotechnology, Chemical Engineering, Control, Data Mining and Analysis, Engineering, Finance, Financial Risk, High-Performance and Parallel Computing, Image Processing, Industrial Engineering, Interface Design, Materials Science, Mathematica Consulting, Mechanical Engineering, Pharmaceutical, Physics, Risk Analysis, Signal Processing, Structural Engineering
2013 Sam Daniel
Raytheon Missile Systems
 Sam Daniel has been using Mathematica since 1988—the year Mathematica 1.0 was launched—to complete a range of innovative projects from patented work on fingerprint identification algorithms for Motorola to spearheading signal processing projects for Raytheon Missile Systems. His mastery of Mathematica has enabled him to document his work and share those results with others, bringing invaluable insights to areas from adaptive antenna simulation to radar ground clutter characterization. Sam’s continued work with Mathematica will include creating elaborate Enterprise CDFs from Wolfram SystemModeler for possible automatic extraction of parameters and control placement. Control Engineering, Engineering, Signal Processing
2013 George Danner Business Laboratory, LLC. In his role as President of Business Laboratory, LLC, George Danner uses Mathematica to solve complex problems for mid-size and large businesses and government organizations. Following the flu outbreaks that took health agencies by surprise in 2008, Danner simulated a hypothetical outbreak in Alabama. As a result, state and federal health officials were able to role-play a series of outbreaks and identify barriers to outbreak response. Other accomplishments include assisting an energy company with over 1,100 natural gas wells in identifying an optimal drilling sequence and helping a large national retailer double its number of stores by using simulated shopper agents to determine optimal locations. Industrial Engineering, Industrial Engineering Economics
2013 Brian Frezza & Emerald Therapeutics Emerald Therapeutics Brian Frezza, Co-CEO and Co-founder of Emerald Therapeutics, has integrated Mathematica at many organizational levels within the company—from using it as a standard documentation tool for the Emerald Therapeutics computer platform to controlling laboratory robots. Although the business is small, Mathematica has been broadly integrated in a manner rarely seen, even by Mathematica’s power users. Emerald’s small team has used Mathematica to conduct more than half a million biotechnology experiments. Biotechnology
2013 Grigory Fridman Saint Petersburg State University of Economics Grigory Fridman is Head of the Department of Economical Cybernetics and Mathematical Methods for Economics at Saint Petersburg State University of Economics in Saint Petersburg, Russia. With his help StPSUE became the first university in Russia to offer access to Mathematica to all faculty and students. Computer Science, Education, Finance, Mathematics, Risk
2013 Charles Macal Argonne National Laboratory As Director of the Center for Complex Adaptive Agent Systems Simulation at Argonne National Lab, Charles Macal uses Mathematica to develop models for studying behavioral factors that contribute to the spread of Methicillin-resistant Staphylococcus aureus (MRSA) and to study how human reactions to political and military action can be quantified and used to simulate when and if conflicts will arise. Macal has been asked to work with the Federal Highway Administration on an innovative new project to develop models for understanding driver behavior for route planning and improving vehicular safety. Engineering, System Modeling
2013 Rolf Mertig GluonVision GmbH Rolf Mertig is a physicist working in different fields as a software consultant. His specialties include efficient webMathematica programming and programmatic CDF generation. Through his own consulting company, GluonVision GmbH based in Berlin, Germany, he works with companies and universities in order for them to get the most out of Mathematica, webMathematica, and CDF. Actuarial Sciences, Data Mining and Analysis, Mathematica Consulting, Physics
2013 Tom Meyer University of Connecticut As a developer of
geographic information systems (GIS) throughout his career at the University of Connecticut. Meyer has published eight papers in two years in which Mathematica was used to conduct research. One paper, “The Direct and Indirect Problem for Loxodromes,” provides the mathematics of how to write an autopilot using a GPS to lay out the course, correctly using modern geodetic reference ellipsoids. Meyer also uses Mathematica in teaching a range of courses from geomatics and GNSS surveying to spatial statistics
and programming.		 Education, Geographic Information Systems
2013 Bart ter Haar Romeny Eindhoven University of Technology A professor in biomedical image analysis, Bart ter Haar Romeny uses Mathematica to design brain-inspired image analysis methods for computer-aided diagnosis. He is an enthusiastic teacher, and introduced Mathematica as a design tool in the curriculum for all students of his department and in most projects in his group. He advocates that Mathematica is ideal for designing innovative algorithms and for “playing with the math.” His PhD students van Almsick, Duits, Franken, (now Professor) Florack, Janssen, and Bekkers substantially contributed to the Mathematica packages on brain-inspired computing. He co-chaired the International Mathematica Symposium 2008 with Markus van Almsick in Maastricht and teaches a popular national course on biologically inspired computing (book written in Mathematica), which was thrice awarded the BME Teaching Award. Biotechnology, Image Processing, Mathematics
2013 Keith Stroyan University of Iowa As a mathematics professor at the University of Iowa, Keith Stroyan was an early adopter of Mathematica in calculus courses, reaching around 6,000 students and 100 teaching assistants in 24 years. In 2005, he was awarded Teacher of the Year by the Mathematical Association of America based on his work developing Mathematica course materials. Stroyan also conducted an early study showing that students who used Mathematica in calculus courses performed better in subsequent courses, even in traditional courses without much technology. In addition to these achievements, Stroyan developed one of the first custom kernel Mathematica programs, Calculus Wiz, and published the first CDF in a scientific journal. His work on iMultiCalc 2013 CDF edition continues to push the boundaries in delivering textbook content. Education, Mathematics
2013 Thomas Weber HighQ-It Thomas Weber is recognized as an expert on quantitative methods in finance and risk. Being a heavy user of Mathematica since Version 1.2, Thomas utilizes this powerful tool for his consultancy for big banks, energy suppliers, and other institutions. Over these many years he has extended Mathematica as needed. For example, he developed a database link long before the Data Access Kit was available. He also integrated different pricing libraries into Mathematica, which allow kinds of risk analysis that go way beyond what is normally possible within financial institutions. Data Mining and Analysis, Finance, Financial Risk, Risk Analysis
2013 Jacqueline Zizi MUM Research Jacqueline Zizi is a passionate and family-centered individual (mother of six and grandmother of 14) who loves mathematics and computation. She has been using Mathematica as a programming language for education and teaching as well as providing her Wolfram Training instructor services all around France. Furthermore, she wrote a simulation tool for high-risk boat navigation (CGA, Alstom Group), a tour in a protein associating music and zooming for IHES, and a conjecture about Grothendieck invariants solved in the special case of graph theory for Professor O. Mathieu in abstract mathematics. Twenty years ago Jacqueline wrote a trilogy of books in French about general considerations in programming and mathematics for education purposes. After the national curriculum was changed, leading to “Polytechnique” and “Grandes Écoles,” she published a book following such a curriculum which, although old, is still for sale. Education
2012 Richard Anderson Richard Anderson is recognized for his pioneering use of gridMathematica to explore network properties using percolation and random graph theories. He has developed gridMathematica applications that use a probabilistic approach along with large-scale multiprocessor computing techniques to explore the underlying structure of complex networks. This work led to the development of new methodologies to identify nodes that are critical to network cohesion and connectivity. High-Performance and Parallel Computing, Mathematics
2012 Rubén Berrocal & Marisa Talavera Panama Government Rubén Berrocal and Marisa Talavera are recognized for revolutionizing the teaching of mathematics and science in Panama by incorporating Wolfram technology into their curriculum. SENACYT adopted the first countrywide provision for the computational software to be installed in all universities, and led plans to install it in high schools. SENACYT has trained professors, researchers, and students in Mathematica across Panama, ensuring that the country will become a bastion of scientific education recognized throughout the world as a supreme destination for intellectual enlightenment. Education, Mathematics
2012 W. Craig Carter Massachusetts Institute of Technology W. Craig Carter is recognized for his many uses of
Pompidou in Paris
.		 Computer Graphics and Visual Arts, Control Engineering, Materials Science
2012 Kazuhiro Iwadoh Tokyo Women's Medical University Dr. Kazuhiro Iwadoh is a medical doctor who studies biostatistics at Tokyo Women’s Medical University. He constructed a decision-making support system in Mathematica to estimate the possibility of injury to a transplanted organ by determining examining parameters that could change over time. The end result is a program that displays an array of a patient’s information such as prescription history and other factors, allowing the physician to select a treatment option tailored to the patient. Dr. Iwadoh hopes the system will contribute to a higher rate of success in organ transplants and for medical procedures in general. Biology, Data Mining and Analysis, Risk Analysis
2012 Ryohei Miyadera Kwansei Gakuin High School Dr. Ryohei Miyadera wants his Kwansei Gakuin High School students to love mathematics and encourages them to perform advanced research in non-traditional ways. He teaches his students to use Mathematica to examine and realize their ideas even if they don’t yet know the high-level mathematics at work. Dr. Miyadera thinks Mathematica enables young people to enjoy mathematics because they aren’t focused on the calculation, but instead on the underlying concepts. A recent example of his students’ work in Mathematica made them finalists for the Asia region in the Google Science Fair 2012 competition. Computer Science, Education, Mathematics
2012 Robert B. Nachbar Merck Research Laboratories Robert Nachbar is recognized for using
Wolfram Alpha trial at Merck, has used Mathematica frequently in his research on viral dynamics for the hepatitis C virus
, and has modeled clinical trial data.		 Biology, Biotechnology, Pharmaceutical
2012 Thomas Roux BRED Banque populaire Thomas Roux is recognized for developing an innovative web service solution for financial risk management, based on webMathematica and webUnRisk. Thomas has shown how Wolfram technologies are integral to the fundamental sustainability of the global banking system, from his native France to the United States. Finance, Financial Risk, Risk Analysis
2012 Fred Szabo Concordia University Fred Szabo is recognized for his contributions in education. Using the phrase “A New Kind of Learning” in his presentations to demonstrate Mathematica’s usefulness throughout an educational curriculum, Fred has showcased Mathematica in broad discussion about the greater use of technology in Canadian schools and universities, citing his own mathematics courses where close to 90% of the students find Mathematica engaging and fun to use. Fred was among the first to embrace online courses, and began a plan for a series of videos to teach students in less technical areas how to use Mathematica. A recipient of numerous teaching awards, including the President’s Award for Innovative Excellence in Teaching, Fred’s goal is to significantly contribute to global education, especially to making the instruction of mathematics more available in Latin America. Education, Mathematics
2011 Philip Zecher EQA Partners As the Chief Risk Officer at EQA Partners, Philip Zecher designed, developed, and implemented a front-to-back trading system, from data acquisition to reporting, using Wolfram technologies. Data Mining and Analysis, Economics, Finance, Risk Analysis
2011 Debra Woods
University of Illinois at Urbana-Champaign
 Debra Woods develops and teaches courses for NetMath, an online math program at the University of Illinois. The courses use Mathematica-based modules that combine textbooks with interactive examples and illustrations to help students focus on mathematical concepts. Authoring and Publishing, Computer Graphics and Visual Arts, Mathematics
2011 Stan Wagon Macalester College Stan Wagon uses Mathematica for his teaching and research in computational dynamics, number theory, and Mathematical logic, and has published several books. He also created a square-wheeled bicycle and a track to ride it on, which landed him a spot in Ripley's Believe It or Not!, and competes in the Breckenridge International Snow Sculpture Contest with ice sculptures based on mathematical objects. Authoring and Publishing, Computer Graphics and Visual Arts, Mathematics, Mechanical Engineering
2011 Michael Ulrey Boeing As part of the Advanced Air Traffic Management team at Boeing, Michael Ulrey develops quantitative models to study the safety of operations and make compelling safety cases to regulators. He has created 3D models to analyze flight paths of planes landing on parallel runways and simulate various situations. Aerospace, Industrial Engineering, Interface Design, Signal Processing
2011 Dana Scott Carnegie Mellon University Dana Scott was an early user of Wolfram technologies in teaching, including developing a Mathematica-based course in projective geometry. The co-inventor of nondeterministic finite automata, winner of the 1976 ACM Turing Award, and founder of domain theory, he continues to employ new Mathematica functionality in innovative ways, for example by using SatisfiabilityInstances to find tilings of pentominoes. Computer Science, Mathematics
2011 Eric Schulz & Pearson Education Walla Walla Community College Eric Schulz, a mathematics instructor at Walla Walla Community College who created Mathematica’s Classroom Assistant palette, joined authors William Briggs, Lyle Cochran, and Bernard Gillett to write Calculus, an ebook published by Pearson Education in 2010. The textbook combines narrative material, examples, and exercises together with 650 interactive figures in an engaging and rigorous presentation. Using the free Wolfram CDF Player, students can immediately navigate through sections and explore the ebook’s interactive figures and intuitive text, which combine to bring hard-to-convey concepts to life. Authoring and Publishing, Education, Interface Design, Mathematics
2011 Diego Oviedo-Salcedo Pontifical Bolivarian University Diego Oviedo-Salcedo demonstrated innovative use of Wolfram technologies in the creation of homework, solutions, and presentations for his engineering classes, and also used Mathematica extensively for his PhD research. He is a Wolfram-certified instructor in Latin America. Authoring and Publishing, Mathematics, Structural Engineering
2011 Ronald Kurnik
Roche Molecular Systems
image processing
and for quantitative chemical reaction modeling. His work has led Roche to file for 15 patents, 7 of which have been issued so far.		 Chemical Engineering, Image Processing, Pharmaceutical, Signal Processing
2011 Seth Chandler University of Houston Law Center Seth Chandler, director of the Program on Law and Computation, studies
Texas legislature
.		 Actuarial Sciences, Economics, Financial Risk, Risk Analysis
2011 Steve Bush Procter & Gamble In Steve Bush’s role developing household consumer items at The Procter & Gamble Company, he’s involved in the physics behind products as well as their economic feasibility. His work with Mathematica includes developing sophisticated tools for computer-aided design and optimizing the orifice size needed to maximize jet momentum, as well as setting up an efficient workflow from idea to prototype. Computer Graphics and Visual Arts, Industrial Engineering, Physics

See also

References

  1. ^ Johnson, Bobbie (2009-03-09). "British search engine 'could rival Google'". The Guardian. London. Retrieved 2009-03-09.
  2. ^ Rao, Leena. "Wolfram Research Acquires Modeling And Simulation Software Developer MathCore". TechCrunch. Retrieved 2017-11-14.
  3. ^ Wolfram, Stephen. "Launching a New Era in Large-Scale Systems Modeling".
  4. ^ Wolfram Alpha Creator plans to delete the PDF The Telegraph (UK)
  5. ^ Wolfram makes data interactive PC World
  6. ^ "Wolfram Language reference page". reference.wolfram.com. Retrieved 2014-05-14.
  7. ^ Slate's article Stephen Wolfram's New Programming Language: He Can Make The World Computable, March 6, 2014. Retrieved on 2014-05-14.
  8. ^ "Wolfram Workbench: State-of-the-Art Integrated Development Environment". www.wolfram.com. Retrieved 2016-08-01.
  9. ^ "Wolfram Finance Platform: Ultimate Financial Computation Environment". www.wolfram.com. Retrieved 2016-08-01.
  10. ^ "Wolfram Development Platform: Introducing a Programming Revolution". www.wolfram.com. Retrieved 2016-08-01.
  11. ^ "Wolfram Programming Lab: Computational Thinking Starts Here". www.wolfram.com. Retrieved 2016-08-01.
  12. ^ "Numb3rs 307: Blackout". Cornell University. Retrieved 13 March 2012.
  13. ^ "Launching the Wolfram Neural Net Repository". blog.wolfram.com/. Retrieved 2018-09-11.
  14. ^ W., Weisstein, Eric. "ScienceWorld FAQ". scienceworld.wolfram.com. Retrieved 2017-07-25.{{cite web}}: CS1 maint: multiple names: authors list (link)
  15. ^ "American Scientist Online – Eric Weisstein's World of Physics". 2005-03-19. Retrieved 2017-07-25.
  16. ISSN 0950-4125
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  17. ^ The Mathematica Journal official site.
  18. ^ Stephen Wolfram's A New Kind of Science sets a new standard in more ways than one by Charlotte Abbott, Publishers Weekly, 6/24/2002
  19. ^ "Wolfram Media: Titles". www.wolfram-media.com. Retrieved 2016-08-01.
  20. ^ "Wolfram Technology Conference 2016".
  21. ^ "Wolfram Data Summit 2016: Trends & Innovations in the Universe of Data". www.wolframdatasummit.org. Retrieved 2016-08-01.
  22. ^ Eisenberg, Anne (17 December 2011). "Online Textbooks Aim to Make Science Leap From the Page". The New York Times.
  23. ^ "Wolfram Innovator Award". www.wolfram.com. Retrieved 2018-10-22.

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