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I am an economist specializing in empirical industrial organization and information economics. My research examines how the commercialization of data and AI technologies shapes information asymmetry (between firms and consumers, and across firms) and the implications for competition, contracting, and consumer welfare.
I focus on applications in the insurance and digital platform sectors. My methods combine economic theory with causal inference, leveraging administrative datasets, structural econometrics, field experiments, and modern computation.
(Pronounced: "ee-joe jin")
Assistant Professor, UToronto Rotman/UTSC/Econ 2022-
Mentor, Creative Destruction Lab 2021 -
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PhD Business Economics, Harvard 2019
MA Economics, Harvard 2016
BA Maths and Economics (valedictorian), UC Berkeley 2011
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