Federico Ferrari
Associate Principal Scientist
New York, New York, United States
Summary
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Senior🎓
Top SchoolFederico Ferrari is an Associate Principal Scientist and applied statistician with 8 years of experience bridging cutting-edge methodology and biostatistics in industry and academia. After a PhD in Statistics from Duke, he developed flexible models for complex dose–response surfaces and tackled high-dimensional, small-n environmental epidemiology problems, then translated that expertise into innovative clinical trial design and external-data integration at Harvard, Dana-Farber and Merck. He has experience across multi-armed bandits, conformal inference, and practical scalable solutions for sparse-conversion problems in industry, reflecting a rare blend of theoretical rigor and product-minded implementation. Based in New York, Federico combines deep probabilistic modeling with hands-on biometrics research, and maintains academic ties through a membership in the "de Castro" Statistics Initiative.
8 years of coding experience
4 years of employment as a software developer
University of BolognaStochastics 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 TorinoMaster of Science - MS, Applied Mathematics and Statistics, Distinction, Master of Science - MS, Applied Mathematics and Statistics, Distinction at Collegio Carlo AlbertoStatistics, Statistics at Lund University School of Economics and ManagementDoctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Duke University
English, ItalianProgramming languages (1)
Github contributions (5)
fedfer/MixSelect
Apr 2020 - Sep 2022
Contributions:1 PR, 10 pushes, 1 branch in 2 years 5 months
fedfer/HPYsinglecell
May 2019 - Mar 2020
Contributions:4 commits, 65 pushes, 1 branch in 10 months
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