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I am a microeconomist trained in empirical industrial organization and information economics. I study how data and AI technologies create and distribute economic value in imperfect markets. This requires new models and evidence on how heterogeneous information across firms influences competition and consumer welfare.

I focus on applications in insurance and digital platforms, combining economic theory, causal inference, modern computation methods, and large datasets. 

My name is pronounced as "ee-joh jin."

Assistant Professor, UToronto Rotman/UTSC/Econ 2022-
Creative Destruction Lab 2021 - 
Ph.D. Business Economics, Harvard 2019
M.A. Economics, Harvard 2016
B.A. Maths and Economics (valedictorian), UC Berkeley 2011

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