Ryan Kessler is a Principal Economist at Amazon with eight years of experience building statistical methodologies and production-grade A/B testing systems that scale across the company. He designs new estimators that balance impact and implementation cost, develops decision-theoretic launch frameworks that incorporate organizational risk preferences, and champions validation approaches that reduce reliance on strong distributional assumptions. His work sits at the intersection of economics, statistics, and engineering, and he regularly partners with software teams to operationalize research into Weblab and broader experimentation infrastructure. A PhD economist with a background in household and public finance, he brings academic rigor from Brown and applied policy experience from the Federal Reserve Bank of Boston to solve high-stakes product questions. Colleagues describe him as someone who thinks deeply about both estimation theory and the practical trade-offs of deploying it at Amazon scale.
7 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Economics, Doctor of Philosophy - PhD, Economics at Brown University
Non-degree student, MATHEMATICS AND STATISTICS, Non-degree student, MATHEMATICS AND STATISTICS at Harvard University
Bachelor of Arts - BA, Summa cum laude, Econometrics and Quantitative Economics, Bachelor of Arts - BA, Summa cum laude, Econometrics and Quantitative Economics at Drake University
Contributions:49 commits, 50 pushes, 1 branch in 4 months
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