About Me

I am expanding my research into AI, including reinforcement learning, multi-agent, evaluation and benchmarking, with an emphasis on AI for mathematics.

During my doctoral studies under the supervision of professor Nikolai Makarov, I worked on probability theory, where I developed a theory for multiple SLE systems and analyzed their deterministic limits. For background, see the introductory slides by Fields Medalist Stanislav Smirnov.

At the beginning of my Ph.D., I spent some time working on partial differential equations with professor Rupert Frank. I studied equilibria in nonlinear diffusion and nonlocal interaction. For an accessible introduction, see the introductory lectures by Caltech applied math professor Franca Hoffmann.

During my undergraduate studies at Peking University, I was interested in dynamical systems. I spent a semester at MIT studying Teichmüller dynamics. I completed my thesis with Professor Yi Liu at BICMR on virtual homological spectral radii for surface automorphism.

Education

  • Ph.D. in Mathematics, California Institute of Technology, 2025
  • B.S. in Mathematics, Peking University, 2019

Research

Early Research during my Ph.D.

Notes, Reports and Slides

Thesis

Awards

  • Silver Award in the Best Thesis Award at the International Congress of Chinese Mathematicians (ICCM), 2025
  • S.-T. Yau College Student Mathematics Contest: Silver Medal in Analysis and Differential Equations (3rd Place), 2017; Silver Medal in Team Competition (2nd Place), 2018.

Invited Talks

  • Stochastics Seminar, University of Utah, Feb 28 2025
  • Probability Seminar, University of Chicago, Jan 31 2025
  • Los Angeles Probability Forum, Caltech, May 2 2024
  • Analysis Seminar, Caltech, Apr 10 2024
  • Graduate student Seminar, Caltech, Jan 28 2022

Teaching

  • California Institute of Technology, Teaching Assistant
    • Ma 1c Calculus and Linear Algebra, Spring 2025
    • ACM 216: Markov Chains, Discrete Stochastic Processes and Applications, Winter 2024
    • Ma 121a Combinatorial Analysis, Fall 2024
    • Ma 140a Probability, Winter 2023
    • Ma 102 Differential Equations, Fall 2023
    • Ma 108c Classical Analysis (Complex Analysis), Spring 2023
    • Ma 110b Analysis (Complex Analysis), Winter 2022
    • Ma 121a Combinatorial Analysis, Fall 2022
    • Ma 103 Intro to Probability and Statistics, Winter 2021
    • Ma 102 Differential Equations, Fall 2021
    • Ma 102 Differential Equations, Fall 2020
    • Ma 110a Analysis (Real Analysis), Fall 2020
    • Ma 1c Calculus and Linear Algebra, Spring 2020
    • Ma 1b Calculus and Linear Algebra, Winter 2019
    • Ma 1a Calculus and Linear Algebra, Fall 2019