Dr. Emily Fox 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.

Dr. Fox has been awarded 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. Her research focuses on machine learning for health and computational neuroscience, with emphasis on data coming from wearable and smart sensors and from neuroimaging devices.