Dr. Jinbo Chen is Professor of Biostatistics in the Department of Biostatistics, Epidemiology & Informatics at the University of Pennsylvania Perelman School of Medicine. Her research focuses on statistical methods for risk prediction, innovative analysis of electronic health record (EHR) data, and the development of efficient sampling designs under resource constraints. Dr. Chen’s recent work has addressed practically important analytical challenges in risk modeling using EHR data, including the development of robust methods to account for EHR phenotyping inaccuracies, assessing and improving the fairness of statistical models and machine learning/AI algorithms, monitoring the temporal performance of machine learning/AI algorithms, enhancing risk modeling through data integration, and inferring individual and group variable importance. Her methods have been applied to advance research in various scientific fields, including breast cancer risk prediction, health services research, and cardiovascular health.