Data Scientist, Institute Intelligence and Data (IID)
After completing a Bachelor’s degree in Engineering Physics (U. Laval) and working in dynamic simulation at CAE in Montreal, Pierre Gravel decided to complete a degree in Physics (M.Sc, U. of Montreal), followed by a degree in Astrophysics (Ph.D., U. Toronto).
His passion for imaging and data analysis led him to The MathWorks, near Boston, to develop image analysis methods for Matlab. It was his love of French and Quebec that brought him back to R&D and teaching in Biomedical Engineering and Medical Physics. He has worked in various laboratories in Montreal (LIO and LCTI at Notre-Dame Hospital) and in Quebec City (CERVO research centre), in addition to teaching Physics at CEGEP. During this period, he was also a postdoctoral researcher at ÉTS, in Montreal, and at ENVA, in Paris. While in Paris, he was a visiting lecturer and visiting CNRS researcher at the Institut de Biomécanique Humaine Georges Charpak, Arts et Métiers ParisTech Institute of Technology, where he taught image and data analysis as well as medical imaging. Just prior to joining IID, he was working in industry in machine learning and deep learning (Génetec Inc., Montreal).