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Mingyuan Zhou
Associate Professor
Department of Information, Risk, and Operations Management, Red McCombs School of Business
Curtis Mathes Memorial Fellowship (Holder)mingyuan.zhou@mccombs.utexas.edu
Phone: 512-232-6763
Office Location
CBA 6.458
Postal Address
2110 SPEEDWAY
AUSTIN, TX 78712-
Mingyuan Zhou joined The University of Texas at Austin faculty in 2013 as an Assistant Professor. He has served as the 2018–2019 treasurer of the Bayesian Nonparametrics Section of the International Society for Bayesian Analysis and as area chairs for leading machine learning conferences, including NeurIPS 2017-2020, ICLR 2019 and 2021, and AAAI 2020 and 2021. Dr. Zhou’s research lies at the intersection of Bayesian statistics and machine learning. His research interests include statistical theory and methods, generative models, deep learning, reinforcement learning, statistical inference for big data, and Bayesian nonparametrics. His work currently focuses on advancing both statistical inference with deep learning and deep learning with probabilistic methods.
Ph.D., Electrical and Computer Engineering, Duke University, 2013
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My research lies at the intersection of Bayesian statistics and machine learning, covering a diverse set of research topics in statistical theory and methods, hierarchical models, Bayesian nonparametrics, statistical inference for big data, and deep learning. I am currently focused on advancing both statistical inference with deep learning and deep learning with probabilistic methods.
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