Lorenzo Trippa

Lorenzo Trippa, Professor in the Department of Biostatistics at Harvard T.H. Chan School of Public Health and Dana-Farber Cancer Institute, has established himself as a pioneering figure in clinical trial design and Bayesian statistics. After earning his Ph.D. in Statistics from Bocconi University and MS in Statistics (cum laude) from Milan's Bicocca University, he has built an influential career combining theoretical statistics with practical clinical applications. His groundbreaking research focuses on adaptive clinical trial designs, Bayesian nonparametrics, and the development of prediction models in personalized medicine. As winner of the Savage Ph.D. Thesis Award from the International Society for Bayesian Analysis, his work has significantly impacted how clinical trials are designed and analyzed. His expertise spans computational methods for Bayesian inference, meta-analyses in personalized medicine, and innovative approaches to cancer clinical trials. Through his joint appointment at Dana-Farber Cancer Institute, he continues to advance statistical methodologies that improve clinical trial efficiency and patient care while mentoring the next generation of biostatisticians.