Charles E. Leonard, PharmD, MSCE, FISPE
Associate Professor of Epidemiology
Dr. Leonard is an Associate Professor of Epidemiology in the Department of Biostatistics, Epidemiology and Informatics at the Perelman School of Medicine. He serves as a faculty and Executive Committee member for the Center for Real-World Effectiveness and Safety of Therapeutics (CREST); faculty for the Institute for Translational Medicine and Therapeutics; senior fellow for the Leonard Davis Institute; fellow for the Institute on Aging; and an affiliate member of the Center of Excellence in Environmental Toxicology (CEET)―all at the University of Penn. Dr. Leonard is a Special Government Employee of the U.S. Food and Drug Administration and an Honorary Lecturer at the Muhimbili University of Health and Allied Sciences.
As a pharmacoepidemiologist with extensive expertise in post-market prescription drug safety, causal inference methods, and real-world evidence (RWE) generation, Dr. Leonard is internationally recognized for his work in the comparative safety of medical products among minority and economically-disadvantaged populations. He has presented his transdisciplinary work to clinical and scientific audiences at national and international conferences; federal regulators and policymakers at the U.S. FDA, Saudi Food and Drug Authority, AHRQ, and CDC; colleagues at universities and institutes across the globe; and clinical decision support stakeholders at health information technology firms.
Dr. Leonard’s scientific contributions aim to generate RWE and close knowledge gaps in four major areas of post-market prescription drug safety: 1) Population health effects of drug interactions; 2) comparative safety of antidiabetes drugs; 3) drug-induced sudden cardiac arrest; and 4) methods development in pharmacoepidemiology. His research is principally funded by the National Institutes of Health.
Content Area Specialties
Pharmacoepidemiology, comparative safety, drug interactions, real-world evidence, sudden cardiac arrest, type 2 diabetes mellitus
Methodology Specialties
High-dimensional propensity scores, observational studies, propensity scores, proportional hazards regression, self-controlled case series design