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I am a Senior Researcher in the Machine Learning Foundations group at Microsoft Research Redmond.
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 '#'
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee,
Yin Tat Lee, Yuanzhi Li, Scott Lundberg, Harsha Nori, Hamid Palangi, Marco Tulio Ribeiro, Yi Zhang
Blog posts featuring my works
Rip van Winkle's Razor, a simple estimate for adaptive data analysis
Teaching Assistant for COS 324 Intro to Machine Learning, Fall 2018.
Teaching Assistant for COS 445 Economics and Computation, Spring 2019
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