Emily B. Fox

Professor of Statistics
Professor of Computer Science
Emily B. Fox

Emily comes to Stanford from the University of Washington where she has held the post of Amazon Professor of Machine Learning in the Paul G. Allen School of Computer Science & Engineering and Department of Statistics. Since 2018, Emily has led the Health AI team at Apple where she is a Distinguished Engineer. Prior to joining UW, Emily was an Assistant Professor at the Wharton School Department of Statistics at the University of Pennsylvania. She earned her doctorate from Electrical Engineering and Computer Science (EECS) at MIT where her thesis was recognized with EECS' Jin-Au Kong Outstanding Doctoral Thesis Prize and the Leonard J. Savage Award for Best Thesis in Applied Methodology.

Emily has been recognized with a Presidential Early Career Award for Scientists and Engineers (PECASE), a Sloan Research Fellowship, ONR Young Investigator Award, and NSF CAREER Award. Her research interests are in large-scale Bayesian dynamic modeling, interpretability and computations, with applications in health and computational neuroscience.​

Related News

It was announced today that Professor Fox has been named to the second cohort of Chan Zuckerberg (CZ) Biohub Investigators, a unique community of dedicated scholars undertaking visionary research into some of the biggest challenges in biomedicine.
With an appointment that starts on September 1st, Emily comes to Stanford from the University of Washington where she has held the post of Amazon Professor of Machine Learning in the Paul G. Allen School of Computer Science & Engineering and Department of Statistics.

Contact

Telephone
650.498.3984