Jason D. Lee

Jason Lee 

Jason D. Lee
jasonlee(AT)marshall.usc.edu WeChat
Google scholar profile


I received a 2019 Sloan Research Fellowship in Computer Science.

Students, Visitors, and Postdocs

I am hiring multiple postdoctoral scholars starting in 2019/2020. My current focus is on machine learning with a focus on foundations of deep learning, non-convex optimization, and the statistics of deep learning. See my slides for a summary of my recent work. Please email me a CV and three representative publications. Generally for postdoctoral scholars, I expect applicants to have publications in either theoretical physics, statistics, optimization, or machine learning.

PhD students interested in machine learning, statistics, or optimization research, please contact me.

Potential visitors are also welcome to contact me. I cannot provide funding for visitors. See a list of past visitors at here.

About Me

I am an assistant professor of Data Sciences and Operations in Marshall School of Business, Computer Science Department (courtesy), and a member of the Machine Learning Center. Previously, I was a postdoc in the Computer Science Department at UC Berkeley working with Michael Jordan, and also collaborated with Ben Recht. Before that, I was a PhD student in Computational Mathematical Engineering advised by Trevor Hastie and Jonathan Taylor. I received a BS in Mathematics from Duke University advised by Mauro Maggioni. I am a native of Cupertino, CA and attended Lynbrook High School.

My research interests are broadly in

  • Statistics (Statistical Learning and High-dimensional Statistics)

  • Machine Learning

  • Optimization.


  • Sloan Research Fellow in Computer Science, Alfred P. Sloan Foundation

  • NIPS 2016 Best Student Paper Award for ‘‘Matrix Completion has no Spurious Local Minima".

Selected Publications