Dr. Mingyuan Zhou

Biography

Mingyuan Zhou is a Professor in the Department of Statistics at the McCombs School of Business, University of Texas at Austin, specializing in probabilistic machine learning with a current emphasis on advancing generative AI. His research interests encompass probabilistic methods, Bayesian analysis, approximate inference, generative models, deep neural networks, and reinforcement learning. He has held prominent roles such as Action Editor for the Journal of Machine Learning Research and has served as Area Chair for numerous prestigious conferences including ICLR and NeurIPS. Prior to his current position, he worked as a Visiting Faculty Researcher at Google, DeepMind, and Apple. Zhou completed his Ph.D. at Duke University in 2013 after earning a Master's degree from the Chinese Academy of Sciences in 2008 and a B.Sc. from Nanjing University in 2005. He has contributed significantly to the academic community with numerous publications and has received funding from various prestigious organizations, reflecting his dedication to pushing the boundaries of statistical inference and deep learning. His group focuses on tackling complex challenges across diverse domains such as computer vision, natural language processing, and bioinformatics, mentoring graduate students who have gone on to secure positions in tech and academia.

Research Interests

Experience

Awards