Emily B. Fox received the S.B. degree in 2004, M.Eng. in 2005, E.E. in 2008, and Ph.D. in 2009 from the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT). She is currently an assistant professor in the Statistics Department at the University of Washington, and was formerly at the Wharton Statistics Department at the University of Pennsylvania. Her Ph.D. was advised by Prof. Alan Willsky in the Stochastic Systems Group, and from 2009-2011 she was a postdoc in the Department of Statistical Science at Duke University working with Profs. Mike West and David Dunson. Emily is a recipient of the Sloan Research Fellowship, ONR Young Investigator award, NSF CAREER award, National Defense Science and Engineering Graduate (NDSEG) Fellowship, National Science Foundation (NSF) Graduate Research Fellowship, and NSF Mathematical Sciences Postdoctoral Research Fellowship. She has also been awarded the 2009 Leonard J. Savage Thesis Award in Applied Methodology, the 2009 MIT EECS Jin-Au Kong Outstanding Doctoral Thesis Prize, the 2005 Chorafas Award for superior contributions in research, and the 2005 MIT EECS David Adler Memorial 2nd Place Master's Thesis Prize. Her research interests are in large-scale Bayesian dynamic modeling and computations.
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Coursera
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