Yunshan Duan
Johns Hopkins, yduan25@jh.edu

Welcome to my homepage! I am a postdoctoral fellow in the Department of Applied Mathematics and Statistics at Johns Hopkins University, where I work under the supervision of Prof. Yanxun Xu. I completed my PhD in Statistics and Data Science at the University of Texas at Austin supervised by Prof. Peter Müller. Prior to UT Austin, I earned a Bachelor’s degree in Math from Fudan University in China.
Research Interests
My research interests lie in Bayesian non-parametrics, statistical machine learning, and their applications in bioinformatics and clinical trials. Specifically, I am interested in
Methodology:
- Dependent random partitions, model-based clustering
- Gaussian Processes, generalized Bayes
Application:
- Single-cell data and spatial transcriptomics
- Clinical trial design and analysis
News
Aug 2025 | I am joining Department of Applied Mathematics and Statistics at Johns Hopkins University as a postdoctoral fellow. ![]() ![]() |
Selected Publications
- bioRxivSpatially aligned random partition models on spatially resolved transcriptomics databioRxiv, 2025
- Book
- JASAImmune profiling among colorectal cancer subtypes using dependent mixture modelsJournal of the American Statistical Association, 2025
- Stat. Biosci.
- Stat. Med.Flexible evaluation of surrogate markers with Bayesian model averagingStatistics in medicine, 2024
- Stat. Sci.Comment: Response-Adaptive Randomization in Clinical Trials: From Myths to Practical ConsiderationsStatistical Science, 2023
- Am. Stat.A comparative tutorial of Bayesian sequential design and reinforcement learningThe American Statistician, 2023
- Pharm. Stat.
- CCTHi3+ 3: A model-assisted dose-finding design borrowing historical dataContemporary Clinical Trials, 2021