Thibaut Vidal

Background

About Thibaut Vidal

Thibaut Vidal, PhD, ing, holds the SCALE-AI Chair in Data-Driven Supply Chains and is a 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 expertise lies in combinatorial optimization and trustworthy machine learning, with applications spanning transportation, supply chain management, resource allocation, and information processing. He has authored over 80 peer-reviewed studies published in leading journals and conferences in operations research and machine learning, such as NeurIPS, ICML, Operations Research, Transportation Science, SIAM Journal on Optimization, and INFORMS Journal on Computing, among many others. His academic contributions include developing state-of-the-art algorithms, many of which are accessible through open-source libraries, facilitating advancements in data-driven logistics operations. He has also collaborated with various companies to enhance data analytics and logistics performance through consulting projects. 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 currently serves as associate editor for the INFORMS Journal on Data Science. For more information, see http://w1.cirrelt.ca/~vidalt/ I also post regular updates on my Twitter profile: https://twitter.com/vidalthi