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Zhou, Mingyuan
No

Mingyuan Zhou

Associate Professor
Department of Information, Risk, and Operations Management, Red McCombs School of Business

Curtis Mathes Memorial Fellowship


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

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.