Jason D. Lee

Jason Lee 

Jason D. Lee
“firstname”+“lastname”@princeton.edu or WeChat
Google scholar profile

Students, Visitors, and Postdocs

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

I am hiring postdoctoral scholars starting in 2020 at Princeton University, please apply here. 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 machine learning, optimization, or statistics.

Potential visitors with funding are also welcome to contact me. See a list of past visitors at here.

About Me

I am an assistant professor of Electrical Engineering in Princeton University and associated faculty in Computer Science. Previously, I was an assistant professor at USC for three years, and before that I was a postdoc in the Computer Science Department at UC Berkeley working with Michael Jordan, and also collaborated with Ben Recht. I received my PhD 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.

I am currently visiting the Simons Institute for Summer 2019 and the IAS for Fall 2019.

My research interests are broadly in

  • Statistics (Statistical Learning and High-dimensional Statistics)

  • Machine Learning

  • Optimization.

Awards

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

  • Finalist for Best Paper Prize for Young Researchers in Continuous Optimization

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

Selected Publications