Yunshan Duan

Johns Hopkins, yduan25@jh.edu

prof_pic.jpg

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. :sparkles: :smile:

Selected Publications

  1. bioRxiv
    Spatially aligned random partition models on spatially resolved transcriptomics data
    Yunshan Duan, Shuai Guo, Hao Yan, Wenyi Wang, and Peter Mueller
    bioRxiv, 2025
  2. Book
    Exercises in Statistical Reasoning
    Michael R Schwob, Yunshan Duan, Beatrice Cantoni, Bernardo Flores-Lopez, and Stephen G Walker
    2025
  3. JASA
    Immune profiling among colorectal cancer subtypes using dependent mixture models
    Yunshan Duan, Shuai Guo, Wenyi Wang, and Peter Müller
    Journal of the American Statistical Association, 2025
  4. Stat. Biosci.
    A unified decision framework for phase I dose-finding designs
    Yunshan Duan, Shijie Yuan, Yuan Ji, and Peter Mueller
    Statistics in Biosciences, 2024
  5. Stat. Med.
    Flexible evaluation of surrogate markers with Bayesian model averaging
    Yunshan Duan, and Layla Parast
    Statistics in medicine, 2024
  6. Stat. Sci.
    Comment: Response-Adaptive Randomization in Clinical Trials: From Myths to Practical Considerations
    Yunshan Duan, Peter Müller, and Yuan Ji
    Statistical Science, 2023
  7. Am. Stat.
    A comparative tutorial of Bayesian sequential design and reinforcement learning
    Mauricio Tec, Yunshan Duan, and Peter Müller
    The American Statistician, 2023
  8. Pharm. Stat.
    Simulation-based sequential design
    Peter Müller, Yunshan Duan, and Mauricio Garcia Tec
    Pharmaceutical Statistics, 2022
  9. CCT
    Hi3+ 3: A model-assisted dose-finding design borrowing historical data
    Yunshan Duan, Sue-Jane Wang, and Yuan Ji
    Contemporary Clinical Trials, 2021