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Emily B. Fox

1 March 2020 No Comment

Emily B. Fox
Paul G. Allen School of Computer Science and Engineering and Department of Statistics, University of Washington
Apple, Inc.

Educational Background
Postdoctoral Scholar, Duke University
PhD, Electrical Engineering and Computer Science, Massachusetts Institute of Technology
SB, Electrical Science and Engineering, Massachusetts Institute of Technology
MEng, Electrical Engineering and Computer Science, Massachusetts Institute of Technology
EE, Electrical Engineering and Computer Science, Massachusetts Institute of Technology

Emily Fox is an associate professor in the Paul G. Allen School of Computer Science and Engineering and department of statistics at the University of Washington and the Amazon Professor of Machine Learning. She is also director of health AI at Apple. Prior to joining the University of Washington in 2012, she was an assistant professor at the Wharton Department of Statistics, University of Pennsylvania.

Fox has been awarded a Presidential Early Career Award for Scientists and Engineers (2017), Sloan Research Fellowship (2015), ONR Young Investigator Award (2015), NSF CAREER Award (2014), National Defense Science and Engineering Graduate (NDSEG) Fellowship, NSF Graduate Research Fellowship, NSF Mathematical Sciences Postdoctoral Research Fellowship, Leonard J. Savage Thesis Award in Applied Methodology (2009) and MIT EECS Jin-Au Kong Outstanding Doctoral Thesis Prize (2009). Her research interests are in large-scale time series modeling and computations with a focus on Bayesian methods and applications in health and computational neuroscience.

Fox was born in Santa Monica, California, and grew up in Los Angeles until going to MIT for college. She went with a longstanding interest in neuroscience, but was swayed by all the engineers to study electrical engineering and was drawn to signal processing. Her interest in the topic was refined into a focus on statistical signal processing during a junior year abroad at Cambridge University. In her study of dynamical systems, Fox eventually found her way to machine learning and Bayesian statistics, and then back to applications in neuroscience.

Fox’s greatest accomplishment is balancing her career with her dedication to mothering two wonderful, ever-demanding, and ever-entertaining children—a son (5.5) and daughter (2.5)—with another baby on the way. She has also been the legal guardian of her younger half-brother (17).

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