I am a PhD student in Computer Science at University of Massachusetts Amherst, working with Professor Daniel Sheldon, expecting to graduate in 2026. Previously I received my B.Eng. in Computer Science from Tsinghua University in Beijing.

Research Preferences

My research preferences lie on probabilistic machine learning, computational statistics and Bayesian inference. Recently, I am working on

• Approximate Inference Methods (Variational Inference, Markov chain Monte Carlo, Sequential Monte Carlo)
• Probabilistic Programming (especially based on Hamiltonian Monte Carlo)
• Generative Models (Diffusion Model, Normalizing Flow)
• Simulation Based Inference (for Scientific Applications)

Other

I “made up” some interesting problems in algorithms during my high school and undergraduate. I am actively translating and posting them here.