Tal Sarig

Research Scientist - Core Data Science

I am a Research Scientist on the Facebook Core Data Science team, working on developing statistical methodologies and applying them to Facebook products. I recently finished a PhD in Statistics and Data Science from Yale University, where I studied theoretical properties of machine learning algorithms. Before that, I did an MSc in Applied Statistics and a BSc in Mathematics and Psychology at Tel-Aviv University.


Applied statistics, statistical learning, machine learning, survey methodology

Latest Publications

arXiv - October 9, 2020

Weights and Methodology Brief for the COVID-19 Symptom Survey by University of Maryland and Carnegie Mellon University, in Partnership with Facebook

Neta Barkay, Curtiss Cobb, Roee Eilat, Tal Galili, Daniel Haimovich, Sarah LaRocca, Katherine Morris, Tal Sarig