Jennifer Wortman Vaughan

Jennifer (Jenn) Wortman Vaughan is an American computer scientist and Senior Principal Researcher at Microsoft Research focusing mainly on building responsible artificial intelligence (AI) systems as part of Microsoft's Fairness, Accountability, Transparency, and Ethics in AI (FATE) initiative. Jennifer is also a co-chair of Microsoft's Aether[1] group on transparency that works on operationalizing responsible AI across Microsoft through making recommendations on responsible AI issues, technologies, processes, and best practices. Jennifer is also active in the research community, she served as the workshops chair and the program co-chair of the Conference on Neural Information Processing Systems (NeurIPs) in 2019[2] and 2021,[3] respectively. She currently serves as Steering Committee member of the Association for Computing Machinery Conference on Fairness, Accountability and Transparency. Jennifer is also a senior advisor to Women in Machine Learning[4] (WiML), an initiative co-founded by Jennifer in 2006 aiming to enhance the experience of women in Machine Learning.

Jennifer Wortman Vaughan, May 2019

Academic biography

Jennifer received a bachelor's degree in Computer Science from Boston University in 2002 and an MS in Computer Science from Stanford University in 2004, where she conducted research for the first time while working with Stanford's Multiagent Group.[5][6] She received an MSE and PhD in Computer and Information Science from the University of Pennsylvania in 2009 where she was mentored by Michael Kearns. During her time at UPenn, she interned with the Machine Learning and Microeconomics groups at Yahoo! Research, as well as the research group at Google.[5] Her dissertation Learning from collective preferences, behavior, and beliefs[7] introduced new theoretical learning models and algorithms for scenarios in which information is aggregated across a population. After receiving her PhD, she spent a year as a Computing Innovation Fellow at Harvard University,[8] where she was involved with the EconCS group,[5][9] the Theory of Computation group,[5][10] and the Center for Research on Computation and Society.[5][11] Prior to joining Microsoft Research in 2012, Jennifer was an Assistant Professor of Computer Science at the University of California, Los Angeles.

Awards and honors

References
  1. "Our approach to responsible AI at Microsoft". www.microsoft.com. Retrieved 2022-01-26.
  2. "2019 Organizing Committee". neurips.cc. Retrieved 2022-01-26.
  3. "2021 Organizing Committee". neurips.cc. Retrieved 2022-01-26.
  4. "Women in Machine Learning". Retrieved 2022-01-26.
  5. "Jennifer Wortman Vaughan". www.jennwv.com. Retrieved 2022-01-31.
  6. "Multiagent Group". multiagent.stanford.edu. Retrieved 2022-01-31.
  7. Skelton, J.; Rodgers, C.; Ellis, L.; Lyles, A. (2014-05-15). "Rubrics and Evaluations". I-manager's Journal on School Educational Technology. 9 (4): 7–13. doi:10.26634/jsch.9.4.2708. ISSN 0973-2217.
  8. "Biography and Photos". www.jennwv.com. Retrieved 2022-01-31.
  9. "econcs". econcs.seas.harvard.edu. Retrieved 2022-01-31.
  10. "Theory of Computation at Harvard". toc.seas.harvard.edu. Retrieved 2022-01-31.
  11. "CRCS | Center for Research on Computation and Society". crcs.seas.harvard.edu. Retrieved 2022-01-31.
  12. "Graduate Student Awards". Retrieved 2022-01-31.
  13. "2009 Class - CCC". Retrieved 2022-01-31.
  14. "UAI 2009 : The 25th Conference on Uncertainty in Artificial Intelligence". www.wikicfp.com. Retrieved 2022-01-31.
  15. "NSF Award Search: Award # 1054911 - CAREER: Learning- and Incentives-Based Techniques for Aggregating Community-Generated Data". nsf.gov. Retrieved 2022-01-31.
  16. "Jennifer Wortman Vaughan named to Symantec Term Chair in Computer Science". Retrieved 2022-01-31.
  17. "President Obama Honors Early Career Scientists and Engineers". www.nsf.gov. Retrieved 2022-01-31.
  18. "Award Papers | International World Wide Web Conference". Retrieved 2022-01-31.
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