Adjunct Professor, Department of Mining and Materials Engineering, McGill University
Jul 2018 – May 2023
Assistant Professor, Department ofManagement, Université du Québec à Trois-Rivières
Aug 2009 – Aug 2018
Research Associate, COSMO - Stochastic Mine Planning Laboratory, McGill University
I became a regular member in December 2020, but I have long been familiar with the work of GERAD members. Indeed, I have contributed a number of Cahiers du GERAD in collaboration with our colleague and GERAD member Roussos Dimitrakopoulos since 2013.
I have a BSc and MSc in Applied Mathematics and a PhD in Operations Research. After receiving my PhD from the Université de Montréal, I took a postdoctoral position in the COSMO-Stochastic Mine Planning Laboratory at McGill University before joining the Department of Management at the Université du Québec à Trois-Rivières as an assistant professor in 2018. Most of my research has been devoted to developing tools and methods to support decision-making in complex and uncertain systems. I am interested in these applications: timetabling, scheduling, logistics, and supply chain management.
I have worked and still work on projects in the mining industry sector, leveraging operations research to improve the efficiency and robustness of production schedules and strategic and operations plans. The methods that I employ include approaches exploiting the problem structure, approaches combining exact and (meta)heuristic methods, and approaches integrating learning mechanisms.
My current research is focused on problems arising in the area of the circular economy and waste valorization, critical to lessening reliance on primary raw materials and to moving toward business practices that address both resource scarcity and environmental concerns. One related stream of work I’ve been involved in recently aims to develop simulation models to assess the economic feasibility of circular economy business models. Other streams of particular interest are practical questions ranging from high-level network design under uncertainty to collaborative logistics management to operational and transportation planning. The goal is to develop solution approaches to these problems and investigate how available data can be leveraged to inform and drive decisions. I use various modelling approaches and solution frameworks, including stochastic programming, robust optimization, game theory, learning-based matheuristics, and classical optimization techniques.
I share research interests with many GERAD researchers, and I am very open to collaborating with them. Also, I invite graduate students who are interested in developing data-driven solutions to move circular economy initiatives forward to contact me.