Yossiri Adulyasak
Portrait of Yossiri Adulyasak

Yossiri Adulyasak

  • Canada Research Chair in Supply Chain Analytics
  • Full Professor, Department of Logistics and Operations Management, HEC Montréal
  • Adjunct Professor, Department of Computer Science and Operations Research (DIRO), Université de Montréal
  • Associate Academic Member, Mila – Quebec AI Institute
  • Member, GERAD (Group for Research in Decision Analysis)
  • Scientific Advisor, IVADO Labs

yossiri.adulyasak [at] hec.ca Google Scholar LinkedIn

Welcome! I am the holder of the Canada Research Chair in Supply Chain Analytics, a 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 Université de Montréal. I am also a scientific advisor in AI at IVADO Labs, and I have been a scientific consultant at JDA (now Blue Yonder) and a scientific fellow at Element AI (now ServiceNow). I actively collaborate with 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.

Research interests

My research focuses on, but is not limited to:

Industry collaboration

I actively work with companies on supply chain and business analytics/AI & optimization problems. Collaborations range from scientific advisory roles and focused projects to research partnerships, which can be co-funded through programs such as Mitacs and NSERC Alliance. Examples of work from industrial collaborations include machine-learning aftermarket demand forecasting with Bombardier, supply chain simulation at Princess Auto, robot scheduling in an automated kitchen, demand sensing at a Canadian retailer and EV charging-station location with Hydro-Québec; more are on the publications page.

Research funding

My research is supported by grants from NSERC, SSHRC, IVADO, Prompt, Mitacs and HEC Montréal, as well as industrial funds.