Name: Prof. X.Y. Han
Title: Assistant Professor of Operations Management and Applied AI
Affiliation: Chicago Booth
Bio:
X.Y. Han is an assistant professor of Operations Management and Applied Artificial Intelligence at the University of Chicago, Booth School of Business. His 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 Surgical Data Science Collective, and the Veolia North America utilities company.
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