Campus
- Downtown Toronto (St. George)
Fields of Study
- Data Science
- Interdisciplinary Research
- Statistical Computing
Areas of Interest
- Spatial Statistics
- Bayesian Statistics
- Computational Statistics
Biography
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).
Awards
- Canada Research Chair Natural Sciences and Engineering Research Council