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X.Y.'s research uses large-scale computational experiments in mathematical geometry to deconstruct operational principles of modern AI and build 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 in nonsmooth optimization. His works have received accolades such as the ICLR 2022 Outstanding Paper Award finalist and the ICCOPT 2022 Best Paper Prize for Young Researchers. His past and present collaborators include the Frick Art Reference Library in New York City, Surgical Data Science Collective, and Veolia North America, a utilities company.
The doctoral program at Booth is organized into 'dissertation areas' which include Accounting, Behavioral Science, Econometrics and Statistics, Finance, Marketing, and Operations Management.