Georg Hahn, Ph.D., is a faculty member in the Division of Pharmacoepidemiology and Pharmacoeconomics of the Department of Medicine at Brigham and Women’s Hospital and Harvard Medical School. Additionally, he holds an Instructor appointment in the Department of Biostatistics of the Harvard T.H. Chan School of Public Health, where he was a research scientist prior to his current appointment. He earned his Masters degree in mathematics and statistics at the University of Cambridge, U.K., and his Ph.D. in statistics at Imperial College London, U.K., where he focused on Monte Carlo-based multiple hypothesis testing. His previous affiliations include the University of Mainz, the Max Planck Institute for Polymer Research, Universidad Complutense de Madrid, Columbia University, Lancaster University, as well as Los Alamos National Laboratory and Lawrence Livermore National Laboratory.
Dr. Hahn's research interests include algorithmic and computational statistics, methodology development for biomedical and biostatistical applications, and data science. He has a particular interest in multiple (tree-based) hypothesis testing, precision medicine, machine learning, penalized regression and model selection, cooperative learning, sequential surveillance analysis, polygenic risk scores and hazard score models, as well as family-based and population-based designs.
