Jason Lee is an assistant professor in Data Sciences and Operations at the University of Southern California. Prior to that, he was a postdoctoral researcher at UC Berkeley working with Michael Jordan, and collaborated with Ben Recht. Jason received his PhD from Stanford University, advised by Trevor Hastie and Jonathan Taylor. His research interests are in statistics, machine learning, and optimization. Lately, he has been working on high dimensional statistical inference, analysis of non-convex optimization algorithms, and theory for deep learning.