CV
Education
- Johns Hopkins University, Baltimore, MD (Sep 2021 – Present)
- Ph.D. Candidate in Mathematics
- Advisors: Prof. Mauro Maggioni and Prof. Yannick Sire
- Syracuse University, Syracuse, NY (Jan 2018 – May 2021)
- Dual Degree: B.S. in Mathematics and B.A. in Physics
- Summa Cum Laude (Cumulative GPA: 3.992/4.000)
- Distinction in Mathematics
- Syracuse University Scholar
- Member of Phi Beta Kappa
Academic Awards
- Chinese Mathematical Olympiad: Provincial First Prize, 2017
- Chinese Physics Olympiad: Provincial First Prize, 2017
- William Lowell Putnam Mathematical Competition: ranked in the top 15% nationally in 2018 and 2019
- Mathematics Department Awards: Euclid Prize, 2020; Archimedes Prize, 2021
- Physics Department Award: Neil F. Beardsley Prize, 2021
Research Topics
- Statistical Machine Learning
- LLM Agents
- Partial Differential Equations
- AI for Science
Technical Skills
- ML / AI: LLM agents, formal verification (Lean, Dafny), model compression, neural operators, generative modeling, flow matching, scientific ML, manifold learning
- Programming: Python, PyTorch, CUDA/MEX, MATLAB
- Math & Modeling: Nonparametric regression, statistical learning theory, PDEs, manifold geometry
Teaching Experience
- Syracuse University
- Math help room: tutored students on elementary calculus
- Teaching Assistant: MAT 412 (Introduction to Real Analysis I), MAT 517 (Partial Differential Equations and Fourier Series), MAT 534 (Introduction to Abstract Algebra)
- Johns Hopkins University
- Math help room: tutored students on undergraduate math courses
- Teaching Assistant: Math 107 (Calculus II), Math 201 (Linear Algebra), Math 202 (Calculus III), Math 311 (Methods in Complex Analysis)
