Lief Esbenshade is a research-driven product leader with a decade of experience at the intersection of causal inference, edtech, and applied AI, currently leading product and research initiatives for K-12 at Colleague AI and the University of Washington's AmplifyLearn.AI. Trained as a PhD economist of education at Stanford, he translates rigorous quasi-experimental methods (difference-in-differences, survival analysis, regression discontinuity) into practical product evaluation and algorithmic design that support teaching and learning. His background spans district-level analytics, industry research at BrightBytes and Google, and hands-on classroom experience—giving him rare fluency across policy, data science, and pedagogy. Lief’s work blends national teacher surveys, data science training programs, and platform development to responsibly integrate LLMs and ML into learning tools. He hosts a mix of academic and personal projects on GitHub, signaling an ongoing commitment to open research and reproducible applied work.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD), Economics of Education, Doctor of Philosophy (PhD), Economics of Education at Stanford University Graduate School of Education
BA Degree, Economics, BA Degree, Economics at Carleton College
2008, 2008 at Oregon Episcopal School
Master's Degree, Economics, Master's Degree, Economics at Stanford University
Did Ohio’s Vaccine Lottery Increase Vaccination Rates? A Pre-Registered, Synthetic Control Study. Working paper: https://osf.io/a6de5/
Contributions:3 releases, 55 commits, 10 PRs in 8 months
lotteryratesdidohiovaccine
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Lief Esbenshade - Head Of Product And Research at Colleague AI