Yuexuan Wu
I am an Assistant Professor in the Department of Statistics at the University of South Carolina.
Before joining USC, I completed a two-year Biostatistics postdoc at the National Alzheimer’s Coordinating Center (NACC) at the University of Washington, supervised by Prof. K.C. Gary Chan. I was also a Data Science Postdoctoral Fellow at the eScience Institute, University of Washington.
I earned my Ph.D. in Statistics from Florida State University, under the supervision of Prof. Anuj Srivastava.
My research focuses on developing novel statistical and machine-learning methodologies for analyzing
high-dimensional and complex data stemming from neuroimaging, neuroscience, and broader biological and medical research. Central to my research is learning underlying structures within complex data,
statistically modeling the variability, and performing statistical inferences. Specifically, I aim to apply these statistical and computational tools to advance the understanding of the brain’s structural changes and their
associations with brain functions, aging, and various diseases. My long-term research goal is to unravel the mechanisms of brain aging and diseases using multi-modality data, specifically aiming to detect and diagnose diseases before symptoms appear.
My research interests lie in medical image analysis, shape and functional data analysis, computational neuroscience, and causal inference .