Data Science Institute

Larry Han is an Assistant Professor, jointly appointed in the Department of Biostatistics and the Brown Data Science Institute.

Previously, he was 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. His current areas of interest include causal inference, conformal inference, data integration, federated learning, and survival analysis.

He received his PhD in Biostatistics at Harvard University, where he was advised by Tianxi Cai and Lorenzo Trippa. Larry completed a postdoc in Health Care Policy at Harvard Medical School, mentored by Sharon-Lise Normand. Larry holds an AM in Biostatistics from Harvard, an MPhil in Healthcare Operations from the University of Cambridge (Gates Cambridge Scholar), an MA in Global Affairs from Tsinghua University (Schwarzman Scholar), and a BS in Public Health and Biostatistics from UNC-Chapel Hill (Morehead-Cain Scholar). 

Outside of work, Larry enjoys playing golf, staying up-to-date on global affairs, reading biographies, and cheering on the UNC Tar Heels.