Phone: (000) 000-0000
Curriculum Vitae: https://sites.google.com/view/tjzhou/cv
Google Scholar: https://scholar.google.com/citations?user=_BCNzikAAAAJ&hl=en
- Ph.D., Statistics, The University of Texas at Austin, 2017
- B.Sc., Statistics, University of Science and Technology of China, 2013
Tianjian's research is focused on Bayesian methods motivated by applications in clinical trials, cancer genomics, missing data, causal inference, and infectious diseases. His specific methodological research interests include nonparametric Bayesian modeling (for factor analysis, regression, clustering, etc.), Bayesian hierarchical modeling, and Bayesian hypothesis testing. Before joining CSU, he held postdoctoral appointments at the University of Chicago and NorthShore University HealthSystem.
RNDClone: Tumor Subclone Reconstruction Based on Integrating DNA and RNA Sequence DataAnnals of Applied Statistics, forthcoming, 2020