Thibaut Vidal holds the SCALE-AI Chair in Data-Driven Supply Chains and is professor at the Department of Mathematics and Industrial Engineering (MAGI) of Polytechnique Montréal, Canada. He is also a member of CIRRELT and an adjunct professor at the Pontifical Catholic University of Rio de Janeiro, Brazil. His main domains of expertise relate to combinatorial optimization, heuristic search and interpretable machine learning, with applications to logistics and supply chain management, production management, resource allocation and information processing. He is the author of over fifty articles in reputed international journals and conferences such as ICML, Operations Research, Transportation Science, SIAM Journal on Optimization, Pattern Recognition and INFORMS Journal on Computing, among many others. His work has been recognized by various prizes in different scientific societies. In particular, he twice received the best paper award from the Transportation Science and Logistics (TSL) section of INFORMS, and received the Robert Faure prize from the French operations research society, as well as other best paper and doctoral dissertation awards from EJOR, ROADEF, VeRoLog and PGMO. He serves as associate editor for the journal Transportation Science.