Tianyu Xie

About Me

I am currently a fourth-year Ph.D. student at Department of Probability and Statistics, School of Mathematical Sciences, Peking University, supervised by Prof. Cheng Zhang. Previously, I received my bachelor degree in statistics from School of Mathematical Sciences, Peking University and my second bachelor degree in economics from National School of Development, Peking University.

Research Interests

I am broadly interested in the theory and application of statistical machine learning. Specifically, my current research focus is Bayesian inference as well as its applications in the following topics:

• Bayesian Inference Methodology: innovative methods in variational inference, Markov chain Monte Carlo, particle-based sampling, etc.
• Generative Models: score-based diffusion models, flow-based generative models, etc., and their connections with Bayesian inference.
• Computational Biology: Bayesian phylogenetic inference with deep learning methods. This is also my Ph.D. thesis.