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
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
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
- 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 - X Guo, X Li, Y Zhang, An α-potential game framework for N-player games, 2024
- X Guo, X Li, and R Xu, Fast Policy Learning for Linear Quadratic Regulator with Entropy Regularization, 2023
- X Guo, X Li, C Maheshwari, S Sastry, and M Wu, Markov α-Potential Games: Equilibrium Approximation and Regret Analysis, 2023
- H 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 tissue growth in a tissue engineering scaffold pore, Physics of Fluids, 2021
Invited Talks & Poster Sessions
- 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
Recent Honors & Awards
- Berkeley Marshall-Oliver-Rosenberger Fellowship, 2024
- Berkeley IEOR First Year Fellowship, 2020
Teaching Experience
Graduate Student Instructor, UC Berkeley
- IEOR 221: Introduction to Financial Engineering, Spring 2024
- IEOR 222: Financial Engineering Systems I, Spring 2023
- IEOR 242/142: Application in Data Analysis, Spring 2022, Spring 2021