Emily Fox is a Professor in the Department of Statistics and Department of Computer Science at Stanford University.  Prior to Stanford, she was the Amazon Professor of Machine Learning in the Paul G. Allen School of Computer Science & Engineering and Department of Statistics at the University of Washington. From 2018-2021, Emily led the Health AI team at Apple, where she was a Distinguished Engineer.

Emily received an S.B. and Ph.D. from the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT). She has been awarded a Presidential Early Career Award for Scientists and Engineers (PECASE), Sloan Research Fellowship, ONR Young Investigator award, NSF CAREER award, Leonard J. Savage Thesis Award in Applied Methodology, and MIT EECS Jin-Au Kong Outstanding Doctoral Thesis Prize.

Her research interests are in modeling complex time series arising in health, particularly from health wearables and neuroimaging modalities.


Institute of Computational & Mathematical Engineering (ICME)
Wu Tsai Neurosciences Institute, Wu Tsai Human Performance Alliance
Center for Artificial Intelligence in Medicine & Imaging (AIMI)

Professional Positions

Education & Training

  • 2011 2009

    Postdoctoral scholar

    Duke University, Department of Statistical Science

  • Ph.D. 2009

    Ph.D. in Electrical Engineering & Computer Science

    MIT Department of EECS

  • E.E. 2008

    Electrical Engineer

    MIT Department of EECS

  • M.Eng. 2005

    Master of Engineering

    MIT Department of EECS

  • S.B. 2004

    Bachelor of Science in Electrical Engineering

    MIT Department of EECS

Honors and Awards

  • 2024
    Institute of Mathematical Statistics (IMS) Fellow
  • 2022
    CZ Biohub Investigator
  • 2018
    Amazon AWS Machine Learning Research Award
  • 2017
    Presidential Early Career Award in Science & Engineering (PECASE)
  • 2017
    AWIS Seattle Chapter Award for Scientific Advancement in STEM
  • 2015
    ONR Young Investigator Award
  • 2015
    Sloan Research Fellowship
  • 2014
  • 2012
    Amazon Machine Learning Professorship
  • 2009
    Leonard J. Savage Award for Best Thesis in Applied Methodology
  • 2009
    MIT EECS Jin-Au Kong Outstanding Doctoral Thesis Prize
  • 2009
    National Science Foundation Mathematical Sciences Postdoctoral Research Fellowship
  • 2005
    National Defense Science and Engineering Graduate (NDSEG) Fellowship
  • 2005
    National Science Foundation Graduate Research Fellowship
  • 2005
    Chorafas Award for excellent academic performance and superior contributions in research