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I am the holder of the Canada Research Chair in Supply Chain Analytics, an associate professor in the Department of Logistics and Operations Management at HEC Montréal, and an adjunct professor in the Department of Computer Science and Operations Research at the University of Montreal. I am also a scientific advisor in AI at IVADO Labs and I have been a scientific consultant at JDA (now BlueYonder) and Element AI (now Service Now). I am actively collaborating with multiple international companies and serve as an advisor for several startups in applied ML/AI, analytics and supply chains. Before joining HEC Montréal, I was a postdoctoral associate at MIT in the SMART research unit, a visiting postdoc at the Operations Research Center and LIDS, and subsequently a data scientist at JDA. My current research focuses lie in, but not limited to: 

• • Supply chain and retail analytics and optimization: demand forecasting, inventory management, online fulfillment, transportation, routing, resilient supply chain network design 

  • Integrated and end-to-end supply chain planning (e.g., production-distribution, network inventory optimization, material requirement planning-MRP, distribution resource planning-DRP)

  • Data-driven optimization under uncertainty (e.g., techniques based on stochastic programming, robust optimization and Markov decision processes)

  • Algorithms and decomposition approaches for large-scale problems (e.g., Benders decomposition algorithms, column generation, branch-and-cut, branch-and-price)

I am currently serving as an Associate Editor of INFORMS Journal on Computing and a member of Editorial Advisory Board of Transportation Research Part E: Logistics and Transportation Review. My research is supported by several research grants from NSERC, SSHRC, IVADO, Prompt, Mitacs, HEC Montréal as well as industrial funds.