I am an associate professor of economics and (by courtesy) of computer science at Northwestern University. My work is at the intersection of economic theory, machine learning, and behavioral/experimental economics.
Click here to download a complete version of the lecture notes (latest version: May 18, 2023), or download by chapter below: Information and Knowledge [+] Bayesian Updating and Beliefs [+] Properties of Information [+] Comparing Information I: The Blackwell Order [+]
Measuring the Completeness of Economic Models, Journal of Political Economy, Vol. 130 (4), Pages 956-990, April 2022 (with Drew Fudenberg, Jon Kleinberg and Sendhil Mullainathan), extended abstract at EC'17 [+pdf] 6.
Welfare Implications of Machine Learning Algorithms. Machine learning algorithms are increasingly used to make predictions in areas such as credit scoring and healthcare, where objectives beyond accuracy are relevant for their design and regulation.