Dr. Jinbo Chen has established a well-funded independent research program that develops innovative biostatistical methods that address study design and data analysis challenges arising from biomedical studies. Her research has focused on four inter-related areas: efficient design and analytical methods for biomedical studies that involve complex outcome dependent sampling; risk prediction and risk model evaluation towards precision medicine; statistical and machine learning methods and tools for clinical and translational research utilizing electronic health record (EHR) data towards improved health care, and statistical methods for genetic epidemiology. Her method research has been largely application driven, motivated by collaborative projects on breast cancer risk prediction, breast imaging biomarker evaluation, maternal and child health, and cardiovascular health using Penn Medicine and Veteran Affairs EHRs.