Summary
Lief Pagalan is a doctoral candidate and Graduate Teaching Assistant at the University of Toronto’s Dalla Lana School of Public Health with nine years of applied epidemiology and data science experience focused on population and environmental health. He leads projects at the Population Health Analytics Lab, blending causal inference, simulation modelling, and machine learning to build risk prediction and population health management solutions. His work bridges academia, health system impact fellowships, and technology-policy engagement through affiliations with the Schwartz Reisman Institute, demonstrating a rare mix of methodological rigor and policy-facing translation. With a background spanning geography, interactive technology, web design, and integrated media, Lief brings a multidisciplinary approach to designing equitable, scalable public health technologies that leverage new data infrastructures.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Fine Arts - BFA, Integrated Media, Graphic Design, Bachelor of Fine Arts - BFA, Integrated Media, Graphic Design at OCAD University
British Columbia Institute of Technology (BCIT)
Doctor of Philosophy - PhD, Epidemiology, Doctor of Philosophy - PhD, Epidemiology at University of Toronto
Master of Science - MSc, Health Sciences, Master of Science - MSc, Health Sciences at Simon Fraser University
Spanish