Emily Beth Fox is an American data scientist and statistician, a professor of statistics at Stanford University, and an executive for drug discovery firm insitro.
Her research applies Bayesian modeling of time series, Hierarchical Dirichlet processes, and Monte Carlo methods to problems in health and neuroscience.
She continued at MIT for a master's degree in 2005[2] and a Ph.D. in 2009, with the dissertation Bayesian Nonparametric Learning of Complex Dynamical Phenomena jointly supervised by Alan S. Willsky and John W. Fisher III.
From 2018 to 2021 she was also a distinguished engineer and lead of Health AI at Apple Inc..[2] In 2021 she moved to her present position as a professor of statistics at Stanford.
[2] In 2024 she was named as a Fellow of the Institute of Mathematical Statistics, "for broad-ranging and highly impactful seminal work on large-scale Bayesian dynamic modeling, sparse network models, and related development of efficient computational algorithms for Bayesian inference, and for applications in health and the study of biomedicine.