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Yao Xie is the Coca-Cola Foundation Chair Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology and serves as the Associate Director of the Machine Learning Center (ML@GT). He holds a Ph.D. in Electrical Engineering with a minor in Mathematics from Stanford University and has previously worked as a Research Scientist at Duke University. His research focuses on developing theory-grounded, computationally efficient methods for sequential inference and decision-making in high-dimensional spatio-temporal settings, with an emphasis on change-point detection and uncertainty quantification. Yao's work integrates generative modeling within modern AI frameworks, aimed at enabling robust inference and prediction in complex systems. He has received notable accolades, including the C.W.S. Woodroofe Award in 2024 and the INFORMS Gaver Early Career Award in 2022. Yao is a distinguished lecturer for the IEEE Information Theory Society for 2026–2027 and serves as an Associate Editor for various prestigious journals. His teaching philosophy emphasizes making rigorous statistical and machine learning concepts accessible and engaging, having taught courses ranging from Basic Statistics to Computational Data Analysis and Machine Learning.
Georgia Institute of Technology • Atlanta, GA
Chair Professor in the H. Milton Stewart School of Industrial and Systems Engineering and Associate Director of the Machine Learning Center.
Duke University • Durham, NC
Conducted research in statistical methods and decision-making under uncertainty.
Department of Computer Science: GRE scores are optional for Fall 2026.