Research Interests
I am broadly interested in machine learning, deep learning, and data mining. My current and specific research interests are geometric deep learning , AI for Science (AI4Science), and LLMs for Science. I strive to develop novel AI methods to solve important problems in sciences, including but not limited to quantum chemistry, material science, biochemistry, physics, and PDEs.

Besides publishing top-tier papers, I am also active in open challenges and open-source communities. I am leading the champion team on Cleft Detection of MICCAI CREMI Open Challenge, a member of the #3 team on the Open Catalyst Challenge, and a contributor to the popular open-source library DIG:Dive Into Graphs.