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 Dr. Yanxun Xu. I completed my PhD in Statistics and Data Science at the University of Texas at Austin supervised by Dr. Peter Müller. Prior to UT Austin, I earned a Bachelor’s degree in Math from Fudan University in China.
Research Interests
My research develops Bayesian and statistical machine learning methods that leverage scientifically meaningful structure to make complex biomedical data analysis more interpretable, statistically reliable, and decision relevant. Specifically, I am interested in
Methodology:
- Statistical machine learning: self-supervised representation learning; Bayesian modeling.
- Bayesian nonparametrics: dependent random partitions; Gaussian processes.
Application:
- Biomedicine: health records and medication data; HIV; mental health and cognition.
- Genomics: single-cell data; spatial transcriptomics.
- Clinical trial: Adaptive clinical trial design; surrogate endpoints.