Antony Chum

Antony is the Canada Research Chair (tier 2) in Population Health Data Science. Drawing on the disciplines of social epidemiology, geospatial analytics, and machine learning, Antony’s research investigates the social and built-environmental determinants of health and evaluate policies to build healthier cities and communities, especially for marginalized groups such as the homeless, low-income, racialized, and LGBTQ+ people. His research approach combines population health data sciences (“big data” analysis) and the application of rigorous social theories (e.g. intersectionality, social ecological theory, minority stress theory, etc.) to investigate social determinants of health and to evaluate interventions aimed at eliminating health disparities.