Team
Expert in AI
With a bachelor's degree in computer science at Université Laval and a master's degree at the University of Ottawa, Frédérik is particularly interested in the field of deep learning. During his studies, he has created from scratch the deep learning library Poutyne, which aims to simplify the development of deep neural networks and eliminate repetitive code.
Frédérik has many experiences as a teacher ranging from assistant to lecturer. Among others, he was a teacher for the 2019 Winter School in Machine Learning at Université Laval and was a teacher for the Introduction to Programming course at Laval University. On the academic side, he has been at multiple times a referee to select papers for the prestigious NeurIPS conference.