I am an economist trained in empirical industrial organization. I study how data and AI technologies create and distribute economic value in imperfect markets.

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

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

Gilbert Center Fellow, UC Berkeley Econ/Haas 2019-2022
Data Science Lead, Twitter 2021 - 2022
Mentor, Creative Destruction Lab 2021 - 
Assistant Professor, UToronto Rotman/UTSC/Econ 2022-

Ph.D. Business Economics, Harvard 2019
M.A. Economics, Harvard 2016
B.A. Maths and Economics (valedictorian), UC Berkeley 2011