MIT
2025-26 Software Fellow
“Development of a neural network potential active learning workflow for enzymatic catalysis study, which integrates cutting-edge quantum chemistry and machine learning techniques in a user-friendly way and democratizes the machine learning for enzyme simulation to the whole community of biochemistry”