About Me

I am a Ph.D. candidate in Industrial Engineering & Operations Research at UC Berkeley advised by Prof. Xin Guo. My primary research interests include stochastic control and games, theoretical reinforcement learning and machine learning

Education

• Ph.D. Industrial Engineering & Operation Research, UC Berkeley (Berkeley, CA), 2020 - 2025 (Expected)

  • Major: Industrial Engineering & Operation Research　　　　　　　
  • Advisor: Prof. Xin Guo

• B.S. Mathematics, New York Univeristy (Shanghai, New York), 2016 - 2020

Work Experience

• Research Scientist Intern, Amazon, Middle Mile Product & Technology (Santa Clara, CA) May 2023 - Aug 2023
• Research Scientist Intern, Amazon, Middle Mile Product & Technology (Santa Clara, CA) May 2022 - December 2022

Representative Publications

• X.Guo, X.Li, C.Maheshwari, S.Sastry and M.Wu, Markov α-Potential Games: Equilibrium Approximation and Regret Analysis, 2023
• H.T. Gu, X.Guo and X.Li, Adversarial Training for Gradient Descent: Analysis Through its Continuous-time Approximation, 2023
• Z.Zong, X.Li and P.Sanaei, Effects of nutrient depletion on issue growth in a tissue engineering scaffold pore, Physics of Fluids, 2021

Invited Talks

• Berkeley-Columbia Workshop, Columbia University, NY, 2023
• Western Conference on Mathematical Finance, UC Berkeley, CA, 2023

Teaching Experience

Graduate Student Instructor, UC Berkeley

• IEOR 222: Financial Engineering, Spring 2023
• IEOR 242/142: Application in Data Analysis, Spring 2022, Spring 2021