Justin Slater

PhD Student


Fields of Study

Areas of Interest

  • Time series
  • Causal inference
  • Functional data analysis
  • Statistical learning
  • Survival Analysis


Justin is a second-year PhD candidate in statistical sciences at the University of Toronto, supervised by Patrick Brown and Jeff Rosenthal. His work is currently focused on Bayesian applications to modelling challenges in COVID-19. He is currently working on spatio-temporal models for COVID-19 that utilize population movement data, and Bayesian infection-fatality rate estimation in Canada.

Prior to entering the PhD program, Justin worked as a statistician in industry and government. As a result, Justin has expertise time series, survival analysis, network meta-analysis and more. Additionally, he has co-authored 10+ peer-reviewed papers in a variety of areas within statistical epidemiology.