Minsuk Shin

Minsuk Shin

Postdoctoral Fellow
Minsuk
Minsuk Shin’s research focuses on high-dimensional Bayesian model selection and sparsity inference. His research is mainly about investigating theoretical properties related to the choice of  priors under high-dimensional settings, and he is also interested in scalable computations for Bayesian inference. He received his PhD in statistics from Texas A&M University in 2017. Currently he is mainly working with Jun Liu and Natesh Pillai in the Department of Statistics, Harvard. 

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