Ph.D. student in Machine Learning at Georgia Institute of Technology since Fall 2023
Broad interests in statistics, probability, and machine learning
Current research focuses on theoretical analysis and practical design of sampling algorithms (e.g., Markov chain Monte Carlo, non-equilibrium, and learning-based neural samplers)
Applies stochastic analysis to optimal transport, stochastic optimal control, and statistical physics
In machine learning, specializes in generative modeling—particularly continuous/discrete diffusion and flow-based models—with applications in vision and language
Miscellany
Interests include languages (French, Chinese vernaculars, and minority languages in China), linguistics, and political science
Enthusiastic about China’s railway system, civil aviation, and architecture
Enjoys action video games such as The Last of Us, Assassin’s Creed, and the Metro series
Fan of LE SSERAFIM
Passionate traveler; recommended destinations include Hangzhou, Yangzhou, Datong, Macau, Washington, D.C., and hometown Ningbo