Philippe Grangier

Philippe Grangier is a highly experienced data scientist with a robust background in operations research and machine learning. Currently serving as Principal Data Scientist and Project Lead at IVADO LABS since September 2020, Philippe has led significant projects, including the optimization of planograms for Canadian Tire and advanced forecasting for Bombardier's spare parts. Prior roles include Applied Research Scientist at Element AI, focusing on recovery problems in the airline industry and other short-term assignments, and R&D Scientist at JDA Software, where Philippe led research on predicting supply chain service level failures. Philippe also holds a postdoctoral fellowship from Polytechnique Montréal, along with an Engineer's Degree and a Master's Degree in Operations Research from ENSTA Paris, and a Ph.D. in Computer Science from IMT Atlantique.