Jeremy Labrecque

Jeremy Labrecque is an Assistant Professor in the Department of Epidemiology at Erasmus MC, Faculty of Medicine, Netherlands. His research focuses on causal inference methods applied to epidemiological and clinical questions in public health, mental health, and neurodegenerative diseases. He is actively involved in major cohort studies such as the Generation R Study and the Rotterdam Study.

Research Interests: His work centers on advanced statistical methodologies, particularly instrumental variable analysis, Mendelian randomization, and directed acyclic graphs, to infer causality from observational data. Key topics include ADHD, prenatal exposures, internalizing symptoms in children, dementia, and health care access. He applies these methods to understand causal pathways in complex biological and social systems.

The recent publications highlight a strong trend in methodological innovation in causal inference, particularly in medical decision making and perinatal epidemiology. His work integrates biostatistics, neuroscience, and public health, often using large longitudinal datasets to evaluate hypothetical interventions and mediation pathways. The use of causal diagrams and natural experiments underscores a commitment to robust evidence generation.

Scientific Awards:

• No awards explicitly mentioned in the provided text.

Advising and Grants: While specific students or grants are not listed, his role as an assistant professor and involvement in high-impact publications suggest active supervision of junior researchers and participation in funded research projects. The mention of 'Supervised Work (1)' on his profile indicates at least one mentored project.

Labs and Teams: Jeremy Labrecque is embedded within the epidemiological research infrastructure at Erasmus MC, collaborating extensively on the Generation R Study and the Rotterdam Study. These are large, interdisciplinary cohorts focused on population health across the lifespan, indicating integration into collaborative, data-rich research environments.