Econometrics, Quantitative Economics, Data Science


Alfred Galichon is a professor of economics and of mathematics at New York University where he has held since 2015 a joint appointment between the Faculty of Arts and Sciences and the Courant Institute of Mathematical Sciences. In the past, he was a professor of economics at Sciences Po, Paris (2012-2016) and at Ecole Polytechnique (2007-2012).

Pr. Galichon’s research interests span widely across theoretical, computational and empirical questions and include econometrics, microeconomic theory, and data science. He is one of the pioneers of the use of optimal transport theory in econometrics, and the author of a monograph on the topic, Optimal Transport Methods in Economics (Princeton, 2016), as well as of an open-source statistical software implementing these techniques, TraME. Among his contributions, he has co-invented vector quantile regression, a multivariate statistical regression technique; affinity estimation, a method for inferring preferences in matching markets; and the mass transport approach to demand inversion, a class of methods to invert multinomial choice models. He is also among the early contributors to optimal martingale transport theory, and more recently to equilibrium transport theory. Galichon’s research has appeared in journals such as the Annals of Statistics, the Journal of Political Economy, Econometrica, and the Review of Economic Studies. He is a co-editor of Economic Theory and his research has been funded by the European Research Council and the National Science Foundation.

In addition to his academic research, Pr. Galichon also has served as a consultant or a collaborator to various organizations including Goldman Sachs, EDF, Lafarge, and Air France. He holds a Ph.D. in economics from Harvard University, and an engineering degree from Ecole Polytechnique. He is a Chief Engineer of Corps des Mines (Ingénieur en chef des Mines) and a Research Fellow of the Center for Economic Policy Research (CEPR) and of the Institute for the Study of Labor (IZA).

Click here to see his CV, and here to see his Google Scholar profile.