I'm a fourth-year Ph.D. candidate in Computer Science at Princeton University, extremely fortunate to be advised by Prof. Sanjeev Arora.
My research concentrates in Theoretical Machine Learning. I am broadly interested in theory and empirics for machine learning, with a focus on understanding the empirical success of deep learning from a theoretical perspective.
I obtained my Bachelor's degrees from University of Michigan, Ann Arbor and Shanghai Jiao Tong University.
As part of our group culture, I spend a significant amount of time making and enjoying coffee :-)
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