Scott Ganz is a research fellow in economic policy studies at the American Enterprise Institute, where he uses novel quantitative methods to generate new insights about regulatory and business policy. Recent work includes designing statistical tests to improve decisions about reopening during the COVID-19 lockdowns, creating algorithms to predict the speed of approval and mass availability of COVID-19 vaccines, and reviewing empirical studies on real-world COVID-19 vaccine efficacy. He is also developing new computational methods for evaluating the distributional impact of storm-caused power failures, new machine learning algorithms for program evaluation in settings where linear regression is inappropriate, and new approaches for conducting elections and assessing voting systems with three or more candidates. His prior research focuses on the housing, utilities, energy, financial, and internet sectors.

Since 2019, Dr. Ganz has been a visiting assistant professor of strategy at the McDonough School of Business at Georgetown University, where he teaches courses on business strategy and public policy. Previously, he was on the faculty of the School of Public Policy at the Georgia Institute of Technology. He has also worked on the Financial Crisis Inquiry Commission (FCIC) as special assistant to Vice Chairman William M. Thomas. Before joining the FCIC, Dr. Ganz was program manager for economic policy studies at AEI.

Dr. Ganz has been published in the popular press and in a variety of academic journals. These include the Dispatch, FiveThirtyEight, National Affairs, RealClearPolicy, Tax Notes, Environmental Politics, Organization Science, and Research in the Sociology of Organizations.