Larry Han is an Assistant Professor of Biostatistics in the Department of Public Health and Health Sciences at Northeastern University and an Affiliate Investigator in the Vaccine and Infectious Disease Division at the Fred Hutch Cancer Center. His research focuses on developing novel statistical and machine learning methods to leverage real-world data to improve decision-making, with a focus on public health and clinical medicine. This includes designing robust, efficient, and targeted estimators for learning causal effects using large-scale data generated from observational studies and randomized trials. Current areas of interest include causal inference, conformal inference, data integration, federated learning, and survival analysis. Larry received his PhD in Biostatistics at Harvard University, advised by Tianxi Cai and Lorenzo Trippa and completed a postdoc in Health Care Policy at Harvard Medical School, mentored by Sharon-Lise Normand. He holds an AM in Biostatistics from Harvard, an MPhil in Healthcare Operations from the University of Cambridge, an MA in Global Affairs from Tsinghua University, and a BS in Public Health and Biostatistics from UNC-Chapel Hill.