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Email: yxu296@jh.edu (work)
yuliangx@umich.edu (permanent)
News: From July 1st, 2026, I will start a new position as an Assistant Professor in the Department of Applied Mathematics and Statistics at Johns Hopkins University, with a secondary appointment in the Department of Biostatistics.
My recent research interest is in the distributional evaluation of generative models for scientific data generation, especially in microbiome synthetic data generation and evaluation.
Previously, I've been a postdoc advised by Prof. Li Ma, in the Department of Statistics and Data Science Institute at the University of Chicago (July 2025 - June 2026), and in the Department of Statistical Science, Duke University (July 2024 - June 2025). I obtained my Ph.D. in Biostatistics, at the University of Michigan, advised by Prof. Jian Kang. During my time at Michigan, I also collaborated with Prof. Florian Gunsilius. I obtained my B.S. degree in Mathematics from South China University of Technology in 2017 and M.S. degree in Statistics from University of Waterloo in 2019.
Education
Ph.D Biostatistics, University of Michigan (Ann Arbor, MI, US). 2024.
M.S. Statistics, University of Waterloo (Waterloo, ON, Canada). 2019.
B.S. in Mathematics and Applied Mathematics, South China University of Technology (Guangzhou, Guangdong, China) 2017.
Employment
Postdoc, Department of Statistics & Data Science Institute, University of Chicago, (July 2025 - June 2026)
Postdoc, Department of Statistical Science, Duke University (July 2024 - June 2025)
Research Interests (Theory and Methods)
Generative Models
Nonparametric Bayesian Statistics
Optimal transport
Causal inference
Research Interests (Application and Data)
Brain Imaging Applications (volumetric fMRI)
Microbiome Data (Count data and relative abundance data)
DNA-sequencing Data
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