Daniel Simpson

Associate Professor
Sidney Smith Hall | 100 St. George Street | Room: 6026A


Fields of Study

Areas of Interest

  • Spatial Statistics
  • Bayesian Statistics
  • Computational Statistics


I am the Canada Research Chair in Spatiotemporal Modelling and an Associate Professor in the Department of Statistical Sciences at the University of Toronto. My research interests include

Spatial and spatiotemporal models with computationally efficient Gaussian random fields (Gaussian processes), Methods for building and assessing Bayesian models, including prior specification, model criticism, and model checking.

Computational statistics, including approximate inference methods (such as INLA), Markov chain Monte Carlo methods, and methods for assessing the quality of approximations to posterior distributions.

Applications of statistics in environmental science (specifically modelling air quality) and global health (specifically modelling global maternal cause of death on a global scale).