The Public Policy and Population Health Observatory is a research network currently made up of four faculty at McGill University studying experimental and quasi-experimental evaluation methods for health policies and programs, their research teams, and students who are working in this area.
Sam Harper is an associate professor in the Department of Epidemiology, Biostatistics & Occupational Health at McGill University. He is also a member of the McGill University Centre on Population Dynamics and the Montreal Health Equity Research Consortium.
His research focuses on understanding population health and its social distribution, with specific interests in impact evaluation, measuring health inequalities, global health, demography, cancer epidemiology, causal inference, and ethical issues in public health.
Jay S. Kaufman holds a PhD in epidemiologic science from University of Michigan (1995). He was previously a professor at UNC School of Public Health in Chapel Hill (1999-2008) and is currently Professor in the Department of Epidemiology, Biostatistics and Occupational Health at McGill University (2009-present). His work focuses on social epidemiology, analytic methodology, and causal inference for various health outcomes. He is an editor at Epidemiology and an associate editor at the American Journal of Epidemiology. With J. Michael Oakes he is the co-editor of the textbook “Methods in Social Epidemiology” (2nd Edition, 2017).
Arijit Nandi holds a Canada Research Chair in the Political Economy of Global Health. He is an Associate Professor jointly appointed at the Institute for Health and Social Policy and the Department of Epidemiology, Biostatistics, and Occupational Health. An epidemiologist by training, Dr. Nandi is broadly interested in the impact of social and economic factors on population health. His primary research interests are: (1) assessing multilevel associations between economic characteristics and population health; (2) investigating the relation between social and economic policies and population health and health disparities in a global context; and (3) estimating causal effects of economic interventions on mental health. A former Robert Wood Johnson Health and Society Scholar at Harvard University, Dr. Nandi received a PhD from the Department of Epidemiology at the Johns Hopkins Bloomberg School of Public Health.
Erin Strumpf is an Associate Professor in the Department of Economics and the Department of Epidemiology, Biostatistics and Occupational Health at McGill University. She is a William Dawson Scholar and holds a Chercheur boursier career award from the Fonds de recherche du Québec – Santé. She received her PhD in Health Policy from Harvard University and her BA from Smith College.
Dr. Strumpf’s research in health economics focuses on evaluating the impacts of health and social policies on the health and wellbeing of individuals and populations, on inequalities across groups, and on the performance of the health care system. She uses administrative health data, large-scale surveys, and methods for causal inference - principally quasi-experimental designs - to estimate the effects of interventions and reforms in real-world settings. Dr. Strumpf and her research team actively collaborate with decision makers to generate relevant, usable knowledge to improve population health and health care system performance. She has presented her work to provincial ministries of health and of finance in Canada, and to policymakers in France and the United States.
Seungmi Yang is an assistant professor at the Department of Epidemiology, Biostatistics and Occupational Health at McGill University. She is affiliated with the Institute of Health and Social Policy and the Centre on Population Dynamics at McGill and holds a chercher-boursier junior 1 award from the Fonds de Recherche du Québec – Santé. Her research interests lie in lifecourse epidemiology and socioeconomic health inequalities as two important themes in population health. Dr. Yang and her research team pursue various methodological approaches in design and analysis to better understand the complex interplay between prenatal and postnatal factors and their health consequences.