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Alain Lemaire

Assistant Professor

Department:     Marketing

Research Areas:     Social Media

Alain P. Lemaire is an assistant professor of marketing at The University of Texas at Austin’s McCombs School of Business, where he has taught the “Principles of Marketing” course.

Lemaire’s interests as a quantitative marketing researcher include social media, crowdfunding, news media, and recommendation engines. He uses tools from machine learning, Bayesian statistics, and econometrics to mine marketing insights from rich social data sets.

Before pursuing a doctorate, Lemaire was a research coordinator at Global Brand Center in New York, where he applied text mining tools to large-scale consumer behavioral and micro-lending data gathered online.

Lemaire was awarded a Ph.D. in marketing from Columbia Business School. He also earned an M.Phil. degree in marketing from Columbia and a B.S. in operations research from Columbia Engineering.



McCombs Research Excellence Grant


Columbia University – Integrative Graduate Education and Research Traineeship


2018 Columbia Business School – Doctoral Program Fellowship


Columbia Business School – Deming Center Doctoral Fellowship


INFORMS Society for Marketing Science Doctoral Consortium Fellow

Joe J. Gladstone, Sandra C. Matz, and Alain Lemaire. 2019. Can Psychological Traits Be Inferred from Spending? Evidence from Transaction Data. Psychological Science 30(7), 1087-1096.


Oliver Toubia, Garud Iyengar, Renee Bunnell, and Alain Lemaire. 2019. Extracting Features of Entertainment Products: A Guided Latent Dirichlet Allocation Approach Informed by the Psychology of Media Consumption. Journal of Marketing Research 56(1), 18-36.


Oded Netzer, Alain Lemaire, and Michal Herzenstein. 2019. When Words Sweat: Identifying Signals for Loan Default in the Text of Loan Applications. Journal of Marketing Research 56(6), 960-980.