Alfred Galichon is a joint Professor of Economics and Mathematics at New York University, an affiliated faculty member of NYU’s Center for Data Science, and the director of NYU Paris, NYU’s academic center in Paris. He also serves as the principal investigator of the ERC-funded EQUIPRICE project at Sciences Po, Paris.
His 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). He is the author of over forty 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 he has served as the principal investigator of grants under the European Research Council and the National Science Foundation (NSF).
Alfred Galichon is also interested in designing innovative educational experiences. He is the creator of the ‘math+econ+code’ masterclasses, a series of week-long immersive classes at the intersection between mathematics, economics and data science. Professor Galichon holds a Ph.D. in economics from Harvard University (2007), and an engineering degree from Ecole Polytechnique (X97) and one from Ecole des Mines de Paris (Corps des Mines, 2002). Among his numerous awards, he is an elected Fellow of the Society for Economic Theory, a Fellow of the Econometric Society, “Young Leader” of the French-American foundation, and a recipient of the Edmond Malinvaud prize. He is a board member of Amicale du Corps des Mines.
Course to be taught: Data & Computation II