Tsung-Hung Yao is a Ph.D. candidate of Biostatistics Department at the University of Michigan under the advisory of Dr. Veerabhadran Baladandayuthapani and Dr. Zhenke Wu. His research interests are mainly in Bayesian modeling and high-dimensional data. This includes different methods such as Bayesian nonparametric, diffusion tree modeling, functional data analysis, and Bayesian graphical models. These methods are mainly motivated by the various applications such as the pre-clinical patient derived xenograft and multiomics integration data.
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Ph.D. Candidate in Biostatistics, 2018
University of Michigan
MSc in Biostatistics, 2017
University of Michigan
BSc in Chemistry, 2013
National Taiwan University