معرفی
Patrick Brown is an Associate Professor at the University of Toronto, affiliated with the Department of Statistical Sciences and cross-appointed to the Centre for Global Health Research and St. Michael's Hospital. His research focuses on spatio-temporal data modeling, Bayesian inference, and non-parametric methods for spatial epidemiology and environmental sciences.
- Fields of Interest: Spatial Statistics, Cancer Statistics, Statistical Software
- Education: PhD from University of Lancaster
His methodological work encompasses Bayesian inference for non-Gaussian spatial data, Gaussian Markov random fields, and computational techniques like INLA and MRA. Applied research themes include disease mapping, environmental risk assessment, and public health surveillance using real-world data sources such as electronic health records and wastewater monitoring. He has developed key R packages (mapmisc, geostatsp, diseasemapping) supporting spatial statistical applications.
Current collaborative projects span diverse fields:
- Ultra-diffuse galaxy detection with astrophysical applications
- Multi-pollutant mortality studies in Canadian cities
- SARS-CoV-2 seropositivity tracking
- Homelessness population estimation using EHR
- Geospatial cancer risk tools for Nova Scotia
