Robert Platt is a Professor in the department Epidemiology, Biostatistics, and Occupational Health (EBOH) at McGill University. He holds the Albert Boehringer I endowed chair in Pharmacoepidemiology.
Professor Platt is (effective December 2016) the Executive Co-Lead of CNODES. He has been the leader of the Methods team of CNODES since its inception. In this role, he has led a methods research and training program for the network and has participated as methods liaison (senior methods author) in numerous CNODES studies.
After completing his PhD in Biostatistics at the University of Washington in 1996, he joined the faculty at McGill University. His main research interests are statistical methods and applications for administrative data, pharmacoepidemiology, perinatal epidemiology, and methods for causal inference from epidemiological studies. His methodological interests center on marginal structural models for analyses of large administrative data cohorts, in particular the specification and optimization of the propensity score and inverse probability weights.
Professor Platt is principal investigator on a number of notable grants, including a Foundation Grant from the Canadian Institutes of Health Research (CIHR) and a Discovery Grant from the Natural Sciences and Engineering Council of Canada. He is co-investigator/subcontractor on several other CIHR and National Institutes of Health grants. In 2005, Prof. Platt received the
Prix d’Excellence from the Québec Foundation for Research on Children’s Diseases. Prof. Platt was a 2016 Thomson Reuters Highly-Cited Researcher, and held a
Chercheur national (national research scholar) award from the
Fonds de recherche en santé du Québec from 2012 to 2016.
Professor Platt is editor-in-chief of Statistics in Medicine, editor of the American Journal of Epidemiology, is on the editorial board of Pharmacoepidemiology and Drug Safety, and is Associate Editor of the International Journal of Biostatistics. He has published over 325 articles, one book and several book chapters on epidemiology.