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.
ACADEMIC LEADERSHIP & AWARDS
2022 |
McCombs Research Excellence Grant |
2013-18 |
Columbia University – Integrative Graduate Education and Research Traineeship |
2013-18 |
2018 Columbia Business School – Doctoral Program Fellowship |
2019 |
Columbia Business School – Deming Center Doctoral Fellowship |
2018 |
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.