Michael Minyi Zhang


Michael Zhang is currently an assistant professor since January 2021 in the School of Computing and Data Science at the University of Hong Kong. His research interests include statistical machine learning, scalable inference and Bayesian non-parametrics. Michael Zhang was a post-doctoral researcher at Princeton University under the supervision of Profs. Barbara Engelhardt and Brandon Stewart and earned a Ph.D. in statistics at the University of Texas at Austin where he was advised by Prof. Sinead Williamson.

Prospective PhD Students: I am looking for applicants to the PhD program under the Belt and Road initiative. This scholarship will completely cover the tuition of the students. Moreover, applicants must be from a participating Belt and Road country (see the list here). Qualified students for this scholarship should possess at least a 1st class honors Bachelors degree, as well as have prior research experience or published papers in Bayesian statistics and machine learning. Interested students should email me a CV, academic transcript, and a research statement before February 14th, 2025.

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