Michael Minyi Zhang


Michael Zhang is currently a post-doctoral researcher at Princeton University in the Department of Computer Science since October 2018 under the supervision of Profs. Barbara Engelhardt and Brandon Stewart. His research interests include statistical machine learning, scalable inference and Bayesian non-parametrics. Michael Zhang earned a Ph.D. in statistics at the University of Texas at Austin where he was advised by Prof. Sinead Williamson.

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