Summary
George Rateb is a data-driven researcher and engineer with nine years of experience applying machine learning, econometrics, and data engineering to policy and litigation questions. With a multidisciplinary B.S. in Electrical & Computer Engineering, Economics, and Mathematics from Duke, he blends rigorous causal inference with practical pipeline-building (Python, R, SQL) to deliver actionable insights for economists, expert witnesses, and policymakers. His recent work at the Yale Tobin Center spans causal evaluation of housing programs and traffic congestion, while prior roles at Cornerstone Research involved constructing datasets and analyses for complex antitrust and market-manipulation cases. George pairs academic rigor—evidenced by an award-winning undergraduate thesis using jackknife IV—with hands-on tooling and process improvements that streamline collaborative research. Based in the NYC area, he’s equally comfortable mentoring junior analysts and translating technical results for non-technical stakeholders, and he has a track record of turning messy, real-world data into defensible, policy-relevant conclusions.
9 years of coding experience
1 year of employment as a software developer
Online Concentration, Computational Science, Online Concentration, Computational Science at North Carolina School of Science and Mathematics
Bachelor of Science, Electrical and Computer Engineering, Economics, Mathematics, Bachelor of Science, Electrical and Computer Engineering, Economics, Mathematics at Duke University
Marvin Ridge High School
Spanish, Arabic, English