Biography: 

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 University of Washington. I earned my Ph.D. in Statistics from Florida State University.

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 work is learning underlying structures within complex data, statistically modeling 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 research interests include medical image analysis, shape and functional data analysis, computational neuroscience, and causal inference.