Martin Cousineau is an assistant professor in the Department of Logistics and Operations Management at HEC Montréal and a professor at the Institute for Data Valorization (IVADO). He co-leads the Sustainable Health axis at Obvia and is a member of the Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT). His expertise lies in methods at the intersection of operations research and machine learning, with a focus on logistics, transportation, and healthcare applications.
Ph.D. in Management, 2020
McGill University
M.Sc. in Administration, 2013
HEC Montréal
B.Ing. in Mechanical Engineering, 2010
École Polytechnique de Montréal
Machine learning presents a promising avenue for solving combinatorial optimization problems, either directly or in combination with operations research methods. My projects in this area include:
Another related project involves the use of constrained optimization for causal inference.
Other projects include:
I teach the following courses at HEC Montréal.