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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.
My research is focused on the following topics: Clinical Trials Design, Bayesian Nonparametrics, Development of Prediction Models in Personalized Medicine, Computational Methods for Bayesian Inference, Meta Analyses in Personalized Medicine
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