User:Mo791/Jennifer Wortman Vaughan

Jennifer (Jenn) Wortman Vaughan is a 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 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 active in the research community, she served as the program co-chair and the workshops chair of the Conference on Neural Information Processing Systems (NeurIPs) in 2021 and 2019, respectively. She currently serves as Steering Committee member of the Association of Computing Machinery on Fairness, Accountability and Transparency. Jennifer is also a senior advisor to Women in Machine Learning (WiML), an initiative co-founded by Jennifer in 2006 aiming to enhance the experience of women in Machine Learning.

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 2006, where she conducted research for the first time while working with Stanford's Multiagent Group. She received a M.S.E and Ph.D. 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. Her dissertation Learning from collective preferences, behavior, and beliefs introduced a computational theory of learning from collective behavior with the objective of predicting future group behavior of a large population. After receiving her Ph.D., she spent a year as a Computing Innovation Fellow at Harvard University, where she was involved with the EconCS group , the Theory of Computation group , and the Center for Research on Computation and Society. 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

 * New York Academy of Sciences 3rd Annual Machine Learning Symposium's Student Paper Award, Second Place (2008)
 * University of Pennsylvania's Morris and Dorothy Rubinoff Award (2009)
 * National Science Foundation (NSF)'s Computing Innovation Fellowship (2009)
 * 25th Conference on Uncertainty in Artificial Intelligence's Best Student Paper Award (2009)
 * NSF's CAREER Award (2011)
 * University of California, Los Angeles's Symantec Term Chair in Computer Science (2011)
 * Presidential Early Career Award for Scientists and Engineers (PECASE) (2012)
 * 24th International World Wide Web Conference's Best Paper Award Nominee (2015)