About Me

  • I am a graduate student at Caltech, where I am advised by Professor Nikolai Makarov. Before my doctoral studies, I received my B.S. in Mathematics from Peking University. Here is my CV.

  • My research focuses on analysis and probability theory. Topics I have been working on include multiple Schramm-Loewner evolutions.

Education

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

Research

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
    • 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 2022
    • 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 2019
    • Ma 1b Calculus and Linear Algebra, Winter 2019
    • Ma 1a Calculus and Linear Algebra, Fall 2019