2. DynamicsDiffusion: Generating and Rare Event Sampling of Molecular Dynamic Trajectories Using Diffusion Models, NeurIPS AI for Science 2023
Research Experience
Based in New York, working worldwide.
Background
PhD Student in AI for Physics, interested in Diffusion/Flow Matching for molecular dynamics, statistical physics for DL and vice versa. As a hobby, develops unconventional AI methods using Neural Cellular Automata, self-organization, and evolutionary algorithms.
Miscellany
Hobby is learning Japanese, finds it very enjoyable to learn new words and grammar every day.