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