I am a postdoctoral researcher in the Machine Learning Foundations group at Microsoft Research Redmond, working closely with Sébastien Bubeck and Ronen Eldan.
I obtained my Ph.D. in Computer Science in 2021 from Princeton University where I was privileged to be advised by Sanjeev Arora. For my last year at Princeton, I received the Wallace Memorial Fellowship in Engineering, one of the highest honors awarded to Ph.D. students. Prior to Princeton, I received one Bachelor's degree from Shanghai Jiao Tong University and another one from the University of Michigan, Ann Arbor, where I was advised by Honglak Lee.
My research concentrates on Theoretical Machine Learning. I am broadly interested in theory and empirics for machine learning, focusing on understanding the intrinsic mechanism of deep learning from a theoretical perspective.
I am a proud dad of a 1-year-old ultra-cute Mame Shiba Inu named Lambo.
He goes by Bobo or 啵啵, at his insistence.
author lists are alphabetical, unless labeled by '#'
Blog posts featuring my works
Teaching Assistant for COS 324 Intro to Machine Learning, Fall 2018.
Teaching Assistant for COS 445 Economics and Computation, Spring 2019