Thanks for your interest. If you are interested in joining my team, please apply to the MSU CSE graduate program and mention my name in your application statement. Students with strong mathematical backgrounds are particularly encouraged to apply!

Here are several optional research projects in my team.

• Graph Limit theory. It models graph data in the limit as the number of nodes approaches infinity, and can also serve as a generative model for graph sequences. Our research aims to understand the convergence, stability, and generalization performance of modern graph learning methods.

• Flow Matching. Flow matching is a flexible and scalable framework for learning probabilistic maps between distributions. We investigate its theoretical foundations for handling distribution shifts between training and testing environments.

• AI for Math. This focuses on using machine learning to assist in mathematical reasoning, theorem proving, and discovery. We are interested in both building tools that support human mathematicians and studying how AI systems can develop mathematical understanding.