Barbara Engelhardt

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Barbara Engelhardt
Born
Barbara Elizabeth Engelhardt
Alma materStanford University (BS, MS)
Chicago University
Jet Propulsion Laboratory
ThesisPredicting protein molecular function (2007)
Doctoral advisorMichael I. Jordan[2]
Websitewww.cs.princeton.edu/~bee/ Edit this at Wikidata

Barbara Elizabeth Engelhardt is an American computer scientist and specialist in bioinformatics. Working as a Professor at Stanford University, her work has focused on latent variable models, exploratory data analysis for genomic data, and QTLs.[1] In 2021, she was awarded the Overton Prize by the International Society for Computational Biology.

Education

Engelhardt received a

PhD in 2008 from the University of California, Berkeley supervised by Michael I. Jordan.[3]
 

Career and research

Engelhardt worked as a postdoctoral researcher at the University of Chicago in the Department of Human Genetics with Matthew Stephens from 2008 to 2011.[4]  She joined Duke University in 2011 as an assistant professor in the Biostatistics and Bioinformatics Department. She joined Princeton University as an assistant professor in 2014 and received a promotion to Associate Professor with tenure in 2017.[5] In August 2022, she moved to California, she now holds the position of Professor at Stanford University and Gladstone Institute of Data Science and Biotechnology. [6][7]

After graduating from Stanford, Engelhardt worked at the

ontologies.[9][10] During her postdoctoral research, she developed sparse factor analysis models for population structure[11] and Bayesian models for association testing.[12]

In her faculty position, the bulk of Engelhardt's research focused on developing latent variable models and exploratory data analysis for genomic data,[13] and also on statistical models for association testing in expression QTLs.[14] As a member of the Genotype Tissue Expression (GTEx) Consortium, her group was responsible for the trans-eQTL discovery and analysis in the GTEx v6[15] and v8 data.[16]

Post tenure, Engelhardt's research in these latent variable models has expanded to include single cell sequencing, with a particular focus on spatial transcriptomics.[17]  She also has work on Bayesian experimental design using contextual multi-armed bandits, and has adapted this work to the novel species problem in order to inform single cell data collection for atlas building.[18] Her work has also expanded into machine learning for electronic healthcare records.[19][20]

Engelhardt's work has been featured in

TEDx
talk entitled: 'Not What but Why: Machine Learning for Understanding Genomics.' [21]

Honors and awards

Engelhardt's research has been funded by the

Alfred P. Sloan Fellowship in Computational Biology,[22] a National Science Foundation CAREER Award,[23] two Chan Zuckerberg Initiative grants for the Human Cell Atlas,[24] and a Fast Grant for her recent work on COVID-19.[25] In 2021, she was awarded the Overton Prize by the International Society for Computational Biology.[26]

Engelhardt's postdoctoral work was partly funded through an NIH NHGRI K99 grant,[27] and her PhD was partly funded through an NSF Graduate Research Fellowship and the Google Anita Borg Scholarship in 2005.[28] She received SMBE's Walter M. Fitch Prize in 2004.[29]

Service and leadership

Engelhardt served on the Board of Directors (2014–2017) and the Senior Advisory Council (2017–present) for Women in Machine Learning.[30] She is the Diversity & Inclusion Co-chair at the International Conference on Machine Learning (ICML, 2018–2022).[31] In 2019, she was a member of the NIH Advisory Committee to the Director, Working Group on Artificial Intelligence[32]

References

  1. ^ a b Barbara Engelhardt publications indexed by Google Scholar Edit this at Wikidata
  2. ^ Barbara Engelhardt at the Mathematics Genealogy Project Edit this at Wikidata
  3. ^ "Michael I. Jordan's Home Page". people.eecs.berkeley.edu. Retrieved 2021-01-11.
  4. ^ "Stephens Lab". stephenslab.uchicago.edu. Retrieved 2021-01-11.
  5. ^ "Eleven Women Faculty Members Who Have Been Assigned New Duties". Women In Academia Report. 2018-03-08. Retrieved 2021-01-11.
  6. ^ "Barbara Elizabeth Engelhardt's Profile | Stanford Profiles". profiles.stanford.edu. Retrieved 2022-08-27.
  7. ^ "[email protected]". gladstone.org. Retrieved 2022-08-27.
  8. ^ "3cs | AIG". sensorwebs.jpl.nasa.gov. Retrieved 2021-01-11.
  9. PMID 16217548
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  10. PMID 21784873
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  11. PMID 20862358
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  12. PMID 23995691
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  13. PMID 27467526
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  14. PMID 29982387
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  15. PMID 29022597
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  16. PMID 32913098
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  17. PMID 32693778
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  18. S2CID 204509422
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  19. PMID 32641134
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  20. PMID 30864333
    .
  21. ^ "A Statistical Search for Genomic Truths". 27 February 2018.
  22. ^ "Prof. Barbara Engelhardt recipient of an Alfred P. Sloan Foundation Research Fellowship | Computer Science Department at Princeton University". www.cs.princeton.edu. Retrieved 2021-01-11.
  23. ^ "Barbara Engelhardt wins CAREER award for research with high-dimensional genomic data | Computer Science Department at Princeton University". www.cs.princeton.edu. Retrieved 2021-01-11.
  24. ^ "Grants". Chan Zuckerberg Initiative. Retrieved 2021-01-11.
  25. ^ "Fast Grants". fastgrants.org. Retrieved 2021-01-11.
  26. ^ "Overton Prize". www.iscb.org.
  27. ^ "NHGRI supports seven young investigators on research career paths". Genome.gov. Retrieved 2021-01-11.
  28. ^ "2005 Google Anita Borg Memorial Scholarship Winners Announced – News announcements – News from Google – Google". googlepress.blogspot.com. Retrieved 2021-01-11.
  29. ^ The Society for Molecular Biology & Evolution. "The Walter M. Fitch Award". www.smbe.org. Archived from the original on 2020-08-12. Retrieved 2021-01-11.
  30. ^ "Senior Advisory Council". Archived from the original on 2021-01-13. Retrieved 2021-01-11.
  31. ^ "2021 Conference". icml.cc. Retrieved 2021-01-11.
  32. ^ "ACD Working Group on Artificial Intelligence". NIH Advisory Committee to the Director. Retrieved 2021-01-11.
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