Summary
Federico Ferrari is an experienced biostatistics scientist specializing in integrating external data into innovative clinical trial designs. Currently an Associate Principal Scientist at Merck, he leads methodological work at the intersection of biostatistics and translational medicine, with prior tenure as Sr. Scientist in Biostatistics at Merck. He previously conducted postdoctoral research at Harvard T.H. Chan School of Public Health and Dana-Farber Cancer Institute, focusing on external data integration and adaptive trial designs, building on a PhD under David B. Dunson at Duke. His research spans environmental epidemiology dose–response modeling, high-dimensional covariates, large-p small-n settings, multi-armed bandits, and conformal inference. He holds an MS in Applied Mathematics and Statistics from Collegio Carlo Alberto and a summa cum laude PhD from Duke, with additional studies in statistics at Lund University and Torino. Based in New York, he collaborates across academia and industry to turn complex statistical ideas into practical, rigorously validated decision tools.
8 years of coding experience
4 years of employment as a software developer
University of Bologna
Stochastics and Data Science, Mathematical Statistics and Probability, 110/110 summa cum laude, Stochastics and Data Science, Mathematical Statistics and Probability, 110/110 summa cum laude at Università degli Studi di Torino
Master of Science - MS, Applied Mathematics and Statistics, Distinction, Master of Science - MS, Applied Mathematics and Statistics, Distinction at Collegio Carlo Alberto
Statistics, Statistics at Lund University School of Economics and Management
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Duke University
English, Italian