X.Y. Han
Assistant Professor of Operations Management
Biography
X.Y.'s research uses large-scale computational experiments and mathematical geometry to put humans back in the loop of automated, blackbox AI/optimization systems by building scientific understandings and productivity-enhancing tools. He co-discovered the now-widely-studied Neural Collapse phenomenon in deep neural network training and co-invented the Survey Descent method for nonsmooth optimization. For these works, he received the ICLR 2022 Outstanding Paper Award and was a finalist for the ICCOPT 2022 Best Paper Prize for Young Researchers. His past and present collaborators include the Frick Art Reference Library in NYC, the USC Keck School of Medicine, and the Veolia North America utilities company.
X.Y. holds a PhD in Operations Research and Information Engineering from Cornell University, an M.S. in Statistics from Stanford University, and a B.S.E. in Operations Research and Financial Engineering from Princeton University.