Dr. Molei Tao

Biography

Molei Tao is a Professor and Richard Duke Fellow in the School of Mathematics at the Georgia Institute of Technology. His research focuses on the theoretical algorithmic foundations of machine learning, encompassing areas such as probabilistic machine learning, sampling, measure transport, and generative modeling. He actively explores deep learning theory, optimization, and geometric methods in machine learning, and advocates for the emerging field known as 'dynamical systems machine learning'. His work often intersects with AI applications in various scientific disciplines, including astronomy, quantum sciences, bioengineering, scientific computing, and material sciences. He serves as the Associate Director of the Tech AI Internal Technical Advisory Board and has been recognized with multiple awards, including the Richard Duke Fellowship and the SONY Faculty Innovation Award. Professor Tao is committed to fostering new talent in the field, offering positions for PhD students and postdoctoral researchers in his group.

Research Interests