I am a Ph.D. candidate in Computational Applied Mathematics at Stony Brook University. My research spans neural operators and AI for PDEs, optimization/sampling (e.g., simulated annealing), and physics-constrained generative models.
Collaborators & Friends
- Collaborator: Prof. Bertal H. Aktas (Brigham and Women’s Hospital; Harvard Medical School)
- Friends: Fang Wan, Georgios (Giorgos) Kementzidis, Jingxiang Qu, Siyao Wang, Wenhan Gao
Short Bio
Ph.D. candidate in Computational Applied Mathematics at Stony Brook University, with prior M.S. degrees in Mathematics (NYU) and Statistics (UC Davis), and a B.S. in Financial Mathematics (BUCT). Core interests span scientific machine learning, neural operators, PDE-constrained learning, and stochastic optimization.
Education
- Stony Brook University — Ph.D. in Computational Applied Mathematics (2022–2027 expected)
- New York University (Courant Institute) — M.S. in Mathematics (2020–2022)
- University of California, Davis — M.S. in Statistics (2019–2020)
- Beijing University of Chemical Technology — Bachelor. in Financial Mathematics (2015–2019)