I am a postdoctoral researcher in the Machine Learning Foundations Group at Microsoft Research Redmond, under Sébastien Bubeck.
I obtained my Ph.D. in Computer Science at Princeton University, advised by Prof. Sanjeev Arora. In 2020, I received the Wallace Memorial Fellowship in Engineering, one of the highest awards from the Graduate School at Princeton.
My research concentrates on 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 the 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 :-)
Sanjeev Arora, Yi Zhang
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