Yuliang Xu (徐玉良)

News: From July 1st, 2025, I've moved to a new Post-doc position in the Department of Statistics and Data Science Institute at the University of Chicago, advised by Prof. Li Ma, working on distributional evaluation of generative models for scientific data generation, especially in microbiome synthetic data generation and evaluation. Prior to this, I was a post-doc at Duke Statistics, also under Prof. Li Ma's supervision, from July 2024 to June 2025.

Previously, 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.

Email: yuliangx@umich.edu (permanent)

yuliang.xu@uchicago.edu (current)

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 Mathemactics, South China University of Technology (Guangzhou, Guangdong, China) 2017.

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