About Me

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

Starting in September 2025, I will join the Mathematics Department at Oxford University as a postdoctoral researcher.

Education

Ph.D. Industrial Engineering & Operation Research, UC Berkeley (Berkeley, CA), 2020 - 2025 (Expected)
- Major: Industrial Engineering & Operation Research　　　　　　　
- Advisor: Prof. Xin Guo
- Master of Science in Industrial Engineering and Operations Research (Awarded: May 2021)
B.S. Mathematics, New York University (Shanghai, New York), 2016 - 2020

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

X Guo, X Li, Y Zhang, An α-potential game framework for N-player games, SIAM Journal on Control and Optimization, forthcoming, 2025
X Guo, X Li, C Maheshwari, S Sastry, and M Wu, Markov α-Potential Games, IEEE Transactions and Control, forthcoming, 2025
X Guo, X Li, and R Xu, Fast Policy Learning for Linear Quadratic Regulator with Entropy Regularization, Revision at SIAM Journal on Control and Optimization, 2025
H Gu, X Guo, TL Jacobs, P Kaminsky, and X Li, Transportation Market Rate Forecast Using Signature Transform, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2024
Finalist for the 2024 Daniel H. Wagner Prize
INFORMS Journal of Applied Analytics, forthcoming, 2025
H Gu, X Guo, and X Li, Adversarial Training for Gradient Descent: Analysis Through its Continuous-time Approximation, Revision at Applied Probability Journals, 2025
Z Zong, X Li, and P Sanaei, Effects of nutrient depletion on tissue growth in a tissue engineering scaffold pore, Physics of Fluids, 2021

Advances in Stochastic Control and Reinforcement Learning, Banff, Canada, 2025
2025 Western Conference on Mathematical Finance, USC, CA, 2025
INFORMS 2024, Seattle, WA, 2024
DIMACS 2024 Workshop on Forecasting, Rutgers University, NJ, 2024
Joint Statistical Meetings, Portland, OR, 2024
Banff International Station, Canada, 2024 (Online)
Cyber Risk and Insurance France-Berkeley Conference, UC Berkeley, CA, 2024
58th Annual Conference on Information Sciences and Systems, Princeton University, NJ, 2024
4th ACM International Conference on AI in Finance, NY, 2023
10th International Congress on Industrial and Applied Mathematics, Waseda University, Tokyo, Japan, 2023 (Online)
INFORMS 2023, Phoenix, AZ, 2023
Berkeley-Columbia Workshop, Columbia University, NY, 2023
Western Conference on Mathematical Finance, UC Berkeley, CA, 2023

Graduate Student Instructor, UC Berkeley