Emily Fox

Emily Fox is a Professor in the Departments of Statistics and Computer Science at Stanford University, with affiliations at the Wu Tsai Neurosciences Institute, Wu Tsai Human Performance Alliance, Bio-X, and Center for Artificial Intelligence in Medicine & Imaging (AIMI). Previously, she was Amazon Professor of Machine Learning at the University of Washington and Distinguished Engineer at Apple.

Education includes: Ph.D. in Electrical Engineering and Computer Science from MIT (2009), E.E. from MIT (2008), M.Eng. from MIT (2005), and S.B. from MIT (2004).

Research focuses on modeling complex time series in health applications, particularly from wearables and neuroimaging. Key areas include Bayesian nonparametrics, time series analysis, and developing statistical methods for high-dimensional data.

Significant awards include: IMS Fellow, CZ Biohub Investigator, PECASE Award, Sloan Fellowship, ONR Young Investigator Award, and NSF CAREER Award.

Advises doctoral students and postdocs in machine learning and statistics. Research supported by NSF, ONR, Amazon, and other grants.

Leads research on health AI applications and develops novel statistical methods for large-scale data analysis.