Tsung-Hung Yao

PhD (Biostat), 2023

University of Michigan
Website
thyao.github.io/
Email
yaotsobfuscate@umich[punto]edu

First position after graduation

Postdoctoral Fellow, Department of Biostatistics, MD Anderson Cancer Center

Thesis:

Bayesian Learning of Structured Covariances, with Applications to Cancer Data. Co-Chair (with Veera Baladandayuthapani)

Education:

2017-2023, Ph.D. in Biostatistics, University of Michigan, Ann Arbor

2017, M.S. in Biostatistics, University of Michigan, Ann Arbor

2013, BSc in Chemistry, National Taiwan University

Awards:

  • 2019, Outstanding Graduate Student Instructor (Biostatistics)
  • 2022, International Socieity for Bayesian Analysis (ISBA) Travel Award, Montreal, Canada
Papers (partial)

1. Geometry-driven Bayesian Inference for Ultrametric Covariance Matrices. Tsung-Hung Yao, Zhenke Wu, Karthik Bharath, Veerabhadran Baladandayuthapani (submitted) ► [code] [pdf] [supplement]

2. Probabilistic Learning of Treatment Trees in Cancer. Tsung-Hung Yao, Zhenke Wu, Karthik Bharath, Jinju Li, Veerabhadran Baladandayuthapani (2022) ► Annals of Applied Statistics. [paper link] [code] [pdf] [supplement]