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

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