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Avi Goldfarb

Avi  Goldfarb

Avi Goldfarb

Professor of Marketing
Rotman Chair in Artificial Intelligence and Healthcare


Phd, Northwestern University, 2002
MA, Northwestern University, 1999
BAH, Queen's University, 1997

Personal Website:


Avi Goldfarb is the Rotman Chair in Artificial Intelligence and Healthcare and a professor of marketing at the Rotman School of Management, University of Toronto. Avi is also Chief Data Scientist at the Creative Destruction Lab, a faculty affiliate at the Vector Institute and the Schwartz-Reisman Institute for Technology and Society, and a Research Associate at the National Bureau of Economic Research. Avi’s research focuses on the economic effects of information technology.

Along with Ajay Agrawal and Joshua Gans, Avi is the author of the Globe & Mail bestselling book Prediction Machines: The Simple Economics of Artificial Intelligence. His latest book, Power and Prediction, was published in November 2022 by Harvard Business Review Press.

He has published academic articles in marketing, statistics, law, management, medicine, political science, refugee studies, physics, computing, and economics. Avi is a former Senior Editor at Marketing Science. His work on online advertising won the INFORMS Society of Marketing Science Long Term Impact Award, and he testified before the U.S. Senate Judiciary Committee on related work in competition and privacy in digital advertising. Avi received his PhD in economics from Northwestern University.

Academic Positions

  • 2018-

    Rotman Chair in Artificial Intelligence and Healthcare, Rotman School of Management

  • 2012-

    Professor of Marketing, Rotman School of Management

  • 2014-

    Research Associate, National Bureau of Economic Research

  • 2008-2012

    Associate Professor of Marketing, Rotman School of Management

  • 2002-2008

    Assistant Professor of Marketing, Rotman School of Management

Non-Academic Positions

  • 2015-

    Chief Data Scientist, Creative Destruction Lab

Selected Publications - Papers

Selected Publications - Books and Chapters

Research and Teaching Interests

Digital markets, economics of artificial intelligence, information and communications technology

Honors and Awards

  • 2018

    Long Term Impact Award Winner for "Online Display Advertising: Targeting and Obtrusiveness" (with Catherine Tucker), INFORMS Society of Marketing Science

  • 2017

    Roger Martin Award for Excellence in Teaching, Rotman School of Management

Academic / Professional Service

  • 2016-2021

    Senior Editor, Marketing Science

  • 2010-2015

    Associate Editor, Management Science

  • 2012-2015

    Associate Editor, Journal of Marketing Research

  • 2008-2015

    Coeditor, Journal of Economics and Management Strategy