I completed my Ph.D. in Computer Science at University of Massachusetts Amherst, under the supervision of Professor Daniel Sheldon. Previously I received my B.Eng. in Computer Science from Tsinghua University in Beijing.

Research Preferences

I am interested in too many things to list. At the moment, my research preferences lie in probabilistic machine learning, computational statistics and Bayesian inference. Recently, I am working on

• Efficient Approximate Inference (Variational Inference, Markov chain Monte Carlo, Sequential Monte Carlo)
• Probabilistic Programming (especially based on Hamiltonian Monte Carlo)
• Generative Models (Diffusion Model, Normalizing Flow)
• Artificial Intelligence for Sciences (Scientific Simulators, Computational Ecology)