Lorenzo Trippa, PhD, is an Associate Professor in the Department of Biostatistics and Computational Biology at Dana-Farber, and an Associate Professor in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health. His research interests include clinical trials design; Bayesian nonparametrics; the development of prediction models in personalized medicine; computational methods for Bayesian adaptive designs; computational methods for Bayesian inference; and meta-analyses in personalized medicine. Trippa is a winner of the Savage PhD Thesis Award from the International Society for Bayesian Analysis. He holds a PhD in Statistics from Bocconi University, Milan, Italy, and an MS in Statistics (cum laude) from Milan’s Bicocca University.