I am a PhD candidate in the Department of Applied Mathematics & Statistics at Johns Hopkins University. I am very fortunate to be co-advised by Professor Soledad Villar and Professor Carey Priebe.

I have no special talent. I am only passionately curious. In particular, I am passionate about understanding learning — including machine learning and natural learning — from mathematical and statistical principles.

My research interests are in the areas of representation learning and deep learning. My current work focuses on expressivity and generalization properties of graph neural networks.