Xiaomeng Ju

Assistant Professor in Statistics
University of Victoria

I am an Assistant Professor in the Department of Mathematics and Statistics at the University of Victoria.

My research develops statistical methods for complex data including functions, matrices, and tensors, with a focus on Bayesian methods for neuroimaging and precision medicine. Learn more on my Research and Publications pages.

Before joining UVic, I was a postdoctoral researcher in Biostatistics at the NYU Grossman School of Medicine, working with Thaddeus Tarpey and Hyung G. Park. I received my Ph.D. in Statistics from the University of British Columbia, supervised by Matías Salibián-Barrera.

I am recruiting! I am looking for graduate students (M.Sc. / Ph.D.), undergraduate research assistants, and research interns to join my group. Learn more →

Education

Ph.D. in Statistics, 2022
University of British Columbia

M.A. in Statistics, 2015
University of Michigan

B.S. in Statistics, 2013
Renmin University of China

Interests

  • Bayesian statistics
  • Functional data analysis
  • Tensor methods
  • Statistical learning
  • Robust statistics
  • Neuroimaging (fMRI, EEG) and precision medicine