Daphne Koller

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Daphne Koller
MOOCs
Coursera
AwardsISCB Fellow (2017)
IJCAI Computers and Thought Award (2001)
MacArthur Fellow (2004)
PECASE (1999)
ACM Prize in Computing (2007)
Scientific career
FieldsMachine learning
Computational biology
Computer vision
Artificial intelligence[1]
InstitutionsStanford University
University of California, Berkeley
ThesisFrom Knowledge to Belief (1994)
Doctoral advisorJoseph Halpern
Doctoral students
Websiteai.stanford.edu/~koller/

Daphne Koller (

MIT Technology Review titled "10 Emerging Technologies That Will Change Your World"[8] concerning the topic of Bayesian machine learning.[9][10]

Education

Koller received a bachelor's degree from the

PhD at Stanford in 1993 under the supervision of Joseph Halpern.[2]

Career and research

External videos
Darden School of Business

After her PhD, Koller did

MacArthur Fellow in 2004. She was elected a member of the National Academy of Engineering in 2011 for contributions to representation, inference, and learning in probabilistic models with applications to robotics, vision, and biology. She was also elected a fellow of the American Academy of Arts and Sciences in 2014 and as a member of the National Academy of Sciences in 2023.[13]

In April 2008, Koller was awarded the first ever $150,000 ACM-Infosys Foundation Award in Computing Sciences.[14]

She and Andrew Ng, a fellow Stanford computer science professor in the AI lab, founded Coursera in 2012. She served as the co-CEO with Ng, and then as president of Coursera. She was recognized for her contributions to online education by being named one of Newsweek's 10 Most Important People in 2010, Time magazine's 100 Most Influential People in 2012, and Fast Company's Most Creative People in 2014.[15]

She left Coursera in 2016 to become chief computing officer at Calico.[15] In 2018, she left Calico to start and lead Insitro, a drug discovery startup.[16] The company operates an automated lab equipment running on algorithms that use its own in vitro disease models.[17] The process allows the combination of machine learning and genomics to predict as well as test treatments for diseases.[17]

Koller is primarily interested in representation, inference, learning, and decision making, with a focus on applications to computer vision and computational biology.[18] Along with Suchi Saria and Anna Penn of Stanford University, Koller developed PhysiScore, which uses various data elements to predict whether premature babies are likely to have health issues.[19]

Koller’s work on artificial intelligence builds on an 18th-century theorem about probability based on the Bayes rule named after the mathematician Thomas Bayes.[20] The approach underpins the process of transforming a current assumption about an event into a more accurate assumption based on more evidence.[20] Koller is a leading figure in research that expanded the existing Bayesian-related software so that it is capable of discerning patterns in vast collections of data.[20] In 2009, she published a textbook on probabilistic graphical models together with Nir Friedman.[21] She offered a free online course on the subject starting in February 2012.[22]

In 2020, Koller co-founded the startup Engageli, which developed an alternative to the Zoom app. Its online learning platform addressed problems such as low student engagement, featuring what the company called as “superior” learning experience that includes real-time evaluations to determine whether students are keeping up.[23]

Her former doctoral students include Lise Getoor,[2] Mehran Sahami,[2] Suchi Saria,[3] Eran Segal,[2] and Ben Taskar.[2]

Koller was interviewed by BBC Radio 4 on The Life Scientific broadcast on 27 September 2022.[24]

Honors and awards

Her honors and awards include:

Books

Koller's book authorships include:

  • Koller contributed one chapter to the 2018 book Architects of Intelligence: The Truth About AI from the People Building it by the American futurist Martin Ford.[33]
  • Probabilistic Graphical Models: Principles and Techniques by Daphne Koller and Nir Friedman.[34]

Personal life

Koller is married to Dan Avida, a venture capitalist at Opus Capital.[11]

References

Media related to Daphne Koller at Wikimedia Commons

  1. ^ a b Daphne Koller publications indexed by Google Scholar Edit this at Wikidata
  2. ^ a b c d e f g h i Daphne Koller at the Mathematics Genealogy Project Edit this at Wikidata
  3. ^
    OCLC 748681635. Free access icon
  4. ^ "Daphne Koller". ai.stanford.edu.
  5. ^ New York Times Profile of Daphne Koller "Pursuing the Next Level of Artificial Intelligence"
  6. ^ Daphne Koller at DBLP Bibliography Server Edit this at Wikidata
  7. S2CID 6146032. Closed access icon
  8. ^ "10 Emerging Technologies That Will Change Your World", MIT Technology Review, February 2004
  9. ISBN 978-0262013192
  10. ^ Daphne Koller at TED Edit this at Wikidata
  11. ^ a b "Profile details: Daphne Koller". marquiswhoswho.com. Marquis Who's Who. Retrieved August 7, 2012. (subscription required)
  12. ^ "Daphne Koller, Stanford University". phdtree.org. 23 November 2013. Archived from the original on 23 November 2013.
  13. ^ "2023 NAS Election". www.nasonline.org. Retrieved 2023-05-05.
  14. ^ "Daphne Koller". awards.acm.org.
  15. ^ a b "Daphne Koller Bids Farewell to Coursera, Hello to Calico - EdSurge News". edsurge.com. 18 August 2016.
  16. ^ "AI Researcher Daphne Koller Heading New Machine Learning Drug Discovery Venture". mobihealthnews.com. 2 May 2018.
  17. ^ a b D'Onfro, Jillian. "Coursera Cofounder Daphne Koller Melds AI And Biology In Drug Startup Insitro". Forbes. Retrieved 2023-06-02.
  18. ^ "10 Machine Learning Experts You Need to Know - Dataconomy". Dataconomy.com. 2014-09-16. Retrieved 2018-02-03.
  19. ^ "Artificial Intelligence – A Brave New World for Pharma | eyeforpharma". social.eyeforpharma.com. Retrieved 2018-02-03.
  20. ^
    ISSN 0362-4331
    . Retrieved 2023-06-02.
  21. ISBN 978-0-262-01319-2
    .
  22. ^ "Probabilistic Graphical Models 1: Representation - Coursera". Coursera.org.
  23. ^ Susan, Adams (October 14, 2020). "Coursera Founder Launches Zoom Challenger for Higher Ed". Forbes. Retrieved June 2, 2023.
  24. ^ "Can computers discover new medicines?". Retrieved 27 September 2022.
  25. ^ a b "CURRICULUM VITAE FOR DAPHNE KOLLER". ai.stanford.edu. Retrieved 2019-03-17.
  26. ^ "Hennessy announces eight new Bass University Fellows". news.stanford.edu. Stanford University. Retrieved 2018-11-17.
  27. ^ Emanuel, Ezekiel (18 April 2013). "Time magazine's 100 Most Influential People". Time.
  28. ^ "Fast Company's Most Creative People in Business". fastcompany.com. Archived from the original on 2019-05-30. Retrieved 2016-10-27.
  29. ^ "February 13, 2017: The International Society for Computational Biology Names Seven Members as the ISCB Fellows Class of 2017". iscb.org. Retrieved 13 February 2017.
  30. ^ "The ACM AAAI Allen Newell, computer science and other disciplines". awards.acm.org. Retrieved 22 January 2020.
  31. ^ "Daphne Koller, PhD". Grace Hopper Celebration. Retrieved 2023-04-24.
  32. ^ "2023 NAS Election". www.nasonline.org. Retrieved 2023-05-05.
  33. ^ Falcon, William (November 30, 2018). "This Is The Future Of AI According To 23 World-Leading AI Experts". Forbes. Retrieved March 20, 2019.
  34. ISBN 978-0-262-01319-2
    .
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