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I am a fifth (and final) year Ph.D. student at the University of Washington where I work in the theory group in the Paul G. Allen School of Computer Science & Engineering. I am fortunate to be advised by Yin Tat Lee.

My research interests lie broadly in algorithm design in continuous and discrete optimization. Most recently, my research focused on convex optimization and its applications, submodular function minimization, and discrepancy theory.

Before coming to UW, I got my B.S. from Tsinghua University where I majored in Mathematics and Physics.



I've been a TA for the following courses at UW:

  • CSE 599M Robustness in Machine Learning, Fall 2019

  • CSE 599Q Intro to Quantum Computing, Winter 2022

2014 - 2018

B.S. Tsinghua University

Mathematics and Physics, Department of Physics

2018 - Now

University of Washington

Theory Group, Paul G. Allen School of Computer Science & Engineering

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