Choice With Many Alternatives

Abstract

Many empirical applications of discrete choice modeling involve very large choice sets, posing challenges for both prediction and estimation. In this talk, I will present recent results on methods for handling large choice sets, focusing on computational approaches that make estimation and prediction feasible in large-scale applications.

Biography

Prof. Michel Bierlaire is Full Professor at École Polytechnique Fédérale de Lausanne (EPFL), where he directs the Transport and Mobility Laboratory. His research focuses on transportation systems, discrete choice modelling, travel demand analysis, and transportation optimisation. He is also the principal developer of the widely used open-source software Biogeme for discrete choice modelling.

He has authored more than 150 journal articles and several books, and his work has received international recognition, including an ERC Advanced Grant in 2026. He is also the founder of hEART (the European Association for Research in Transportation).