is the Leon G. Cooperman Professor of Finance and Economics at Columbia University’s Graduate School of Business. Her research examines how investors’ or firms’ use of data and AI affect consumers, the macroeconomy, markups, economic measurement and financial valuations. She is an author of two textbooks: Information Choice in Macroeconomics and Finance, and The Data Economy: Tools and Applications (forthcoming), both with Princeton University Press. She has also published extensively on these topics in leading peer-reviewed journals in finance and economics, including Journal of Finance, Review of Financial Studies, American Economic Review, Review of Economic Studies and Journal of Economic Theory. Laura serves on the American Economic Association’s awards committee and co-chairs the program committee for the annual conference of the Society for Financial Studies. Her accomplishments have earned her recognition as a fellow of the Econometric Society, the Society for the Advancement of Economic Theory, the Finance Theory Group, the National Bureau of Economic Research and the Centre for Economic and Policy Research. In the public sphere, she is an economic advisor for the New York Federal Reserve and the Bank of International Settlements. She holds a Ph.D. in economics from Stanford University.
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