Larry Han is an Assistant Professor of Biostatistics and Data Science, holding a joint appointment in the Department of Biostatistics and the Brown Data Science Institute. Previously, he served for three years as an Assistant Professor of Biostatistics at Northeastern University. His research centers on creating innovative statistical and machine learning methods to utilize real-world data to improve public health and clinical medicine. His work specifically focuses on developing robust and targeted estimators for learning causal effects from large-scale observational studies and randomized trials, with broader interests spanning federated learning, data integration, conformal prediction, and survival analysis. He earned his PhD and AM in Biostatistics from Harvard University, working with Tianxi Cai, followed by a postdoctoral fellowship in Health Care Policy (Statistics) at Harvard Medical School with Sharon-Lise Normand. His academic background also includes an MPhil in Healthcare Operations from the University of Cambridge as a Gates Cambridge Scholar, an MA from Tsinghua University in Global Affairs as a Schwarzman Scholar, and a BS from UNC-Chapel Hill in Biostatistics and Public Health as a Morehead-Cain Scholar.
