As vice dean of data science and information technology, Dr. Pencina is responsible for developing and implementing quantitative science strategies as they pertain to the education and training, and laboratory, clinical science, and data science missions of the School of Medicine. He leads the School’s IT strategic direction and investments, working in collaboration with the vice presidents and chief information officers of Duke Health and Duke University’s Office of Information Technology.
Dr. Pencina is a professor of Biostatistics and Bioinformatics at Duke University and served as director of Biostatistics at Duke Clinical Research Institute (DRCI). Dr. Pencina is an internationally recognized expert in risk prediction model development and evaluation. The methods for quantifying improvement in model performance proposed in his research have been recommended by expert panels and guideline groups. Dr. Pencina is actively involved in the design, conduct and analysis of clinical studies with particular focus on novel and efficient designs and applications of machine learning for medical decision support. He interacts regularly with investigators from academic and industry institutions as well as with the Food and Drug Administration. Dr. Pencina has co-authored over 300 manuscripts in peer-reviewed journals. He serves as deputy editor for Statistics at JAMA-Cardiology and associate editor for Statistics in Medicine.
Dr. Pencina received his PhD in Mathematics and Statistics from Boston University. He joined the Duke faculty in 2013. Prior to joining Duke, Dr. Pencina served as an associate professor in the Department of Biostatistics at Boston University and the Framingham Heart Study and as director of Statistical Consulting at the Harvard Clinical Research Institute.