Alfred Galichon is a professor in the departments 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. Starting September 2018, he will serve as the Director of NYU Paris.
His research interests lie at the frontier of economics, mathematics, computation, and data science. He is the author of a monograph, Optimal Transport Methods in Economics (Princeton, 2016), as well as of an open-source statistical software, TraME. Among his research 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 interested in designing innovative educational experiences. Recently he has initiated the ‘math+econ+code’ masterclasses, a series of week-long immersive classes at the intersection between mathematics, economics and computation.
Alfred Galichon has published over thirty research articles that have 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.
He holds a Ph.D. in economics from Harvard University (2007), and an engineering degree from Ecole Polytechnique (X97) and from Mines ParisTech (Corps des Mines, 2002).