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Guang Lin is a Full Professor in the Department of Mathematics and the School of Mechanical Engineering at Purdue University, where he also serves as Associate Dean for Research and Innovation in the College of Science. His research focuses on advanced computational methods and artificial intelligence applications in fields such as data science, business analytics, and predictive modeling. Lin holds a Ph.D. in Applied Mathematics from Brown University and previously worked as a Research Scientist at the Pacific Northwest National Laboratory. He has received several prestigious awards, including the NSF CAREER Award and the University Faculty Scholar Award at Purdue University. His work integrates mathematical theory with practical computational solutions, making significant advancements in Bayesian deep learning and data-driven modeling. Lin's current research includes the development of interpretable and reliable AI systems designed to tackle complex scientific problems, with a focus on the uncertainty quantification within multi-scale modeling of physical and biological systems.
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