Alireza Tahbaz-Salehi joined the Managerial Economics and Decision Sciences Department at the Kellogg School of Management in 2017. Prior to joining Kellogg, he was the Daniel W. Stanton Associate Professor of Business at Columbia Business School. His research focuses on the implications of network economies for information aggregation, business cycle fluctuations, and financial stability.

Macroeconomics, Economic Theory

• PhD, 2009, Electrical and Systems Engineering, University of Pennsylvania
• MA, 2008, Economics, University of Pennsylvania
• MSE, 2006, Electrical Engineering, University of Pennsylvania
• Bsc, 2004, Electrical Engineering, Sharif University of Technology

• Daniel W. Stanton Associate Professor of Business, Columbia University, Columbia University, 6/1/2017
• Associate Professor, Columbia Business School, Columbia University, 8/1/2015
• Assistant Professor, Columbia Business School, Columbia University, 6/1/2015
• Associate Professor, Managerial Economics & Decision Sciences, Kellogg School of Management, Northwestern University, 8/31/2019
• Professor, Managerial Economics and Decision Sciences, Kellogg School of Management, Northwestern University

• Excellence in Refereeing Award for The Review of Economic Studies, Review of Economic Studies, 2021
• Excellence in Refereeing Award for The Review of Economic Studies, Review of Economic Studies, 2020
• Excellence in Refereeing Award for the American Economic Review, American Economic Association, 2018
• Pew Presidential Prize, Department of Economics, University of Pennsylvania
• International Economic Review Fellowship, Department of Economics, University of Pennsylvania, 2007-2008
• Judith Rodin Fellowship, School of Arts and Sciences, University of Pennsylvania, 2008-2009
• Best Student Paper Award Finalist, IEEE Conference on Decision and Control
• Joseph, D'16 and Rosaline Wolf Award for Best Dissertation, Department of Electrical and Systems Engineering, University of Pennsylvania
• Outstanding Referee Award, Journal of Economic Dynamics & Control

• Associate Editor, Journal of Economic Theory, 2021
• Associate Editor, American Economic Review, 2019

Research in Economics (MECS-560-3)
This course introduces first-year PhD students to the economics research environment. With an emphasis on breadth, and minimal prerequisite knowledge at the graduate level, students are exposed to the process of forming and answering research questions. The course involves multiple faculty providing their perspective on successful approaches to research by highlighting significant recent works in their respective fields of interest.

Economic Theory II: Advanced Topics in Game Theory (MECS-550-2)
This course deeply covers a current research area in game theory with recent, fruitful developments. Besides covering the topic, the course provides students perspective over an entire subliterature. Students see how a field developed over time, consider alternative development options, and learn what early work influenced followup research. Instructors focus on topics for which they have expertise and active research.

Analytical Approach to Uncertainty (MECNX-433-0)

Business Analytics (DECSM-431-0)


Business Analytics I (DECS-430-5)
This course was formerly known as DECS 430-A/DECS 430-B
Analytics is the discovery and communication of meaningful patterns in data. This course will provide students with an analytics toolkit, reinforcing basic probability and statistics while throughout emphasizing the value and pitfalls of reasoning with data. Applications will focus on connections among analytical tools, data, and business decision-making.