Molei Tao

Molei Tao is a Professor and Richard Duke Fellow at Georgia Tech, and currently a visiting professor at the Simons Institute at UC Berkeley. Formally trained as an applied & computational mathematician, he works on the theoretical and algorithmic foundation of machine learning. Together with his GT Dynamical ML Group, he studies diffusion generative models and sampling, deep learning theory and optimization, and AI4Science, by developing and integrating tools from dynamical systems, numerical analysis, applied probability, optimal control, and geometry.