Eleanor (Ellie) Murray is a postdoctoral research fellow in the Department of Epidemiology at the Harvard T.H. Chan School of Public Health. Her work is on causal inference methodology for comparative effectiveness and real-world evidence, with an aim of improving evidence-based decision-making by patients, clinicians, and policy makers. She specializes in methods for assessing complex and time-varying treatments using observational data and randomized trials when available, and individual-level simulation modeling when insufficient data exist in the time frame required for decision-making. She works on applications of these methods to a variety of medical conditions including HIV progression, cancer, psychiatric conditions, and cardiovascular disease. She has an ScD in Epidemiology and MSc in Biostatistics from Harvard Univeristy, an MPH in Epidemiology from Columbia Mailman School of Public Health, and a BSc in Biology from McGill University.