Summary
Jeremy Labrecque is an assistant professor of epidemiology and leader of the Causal Inference Group at Erasmus MC with a decade of experience bridging methods and applied population health research. His work centers on causal inference in epidemiologic studies, with active interests spanning genetic and social epidemiology and the methodological space between them. He progressed from data-focused roles and GIS work at McGill-affiliated centers to a postdoctoral fellowship and now faculty leadership in the Randstad, bringing strong quantitative, data management, and interdisciplinary collaboration skills. Jeremy combines rigorous MSc training in epidemiology and natural resource science with practical experience in science communication and international project work. He is known for translating complex causal methods into actionable study designs and for mentoring early-career researchers in robust analytic practice. An often-overlooked strength is his background in environmental and natural resource science, which informs a systems perspective on population health.
10 years of coding experience
8 years of employment as a software developer
Master of Science, Natural Resource Science, Master of Science, Natural Resource Science at McGill University - Macdonald Campus
Master of Science, Epidemiology, Master of Science, Epidemiology at McGill University
English, French, Portuguese, Spanish, Dutch