Summary
William Guimont-martin is a Ph.D. student specializing in deep learning and mobile robotics at Norlab, Université Laval, with 11 years of experience applying computer vision and ML to real-world sensing problems. His research focuses on leveraging deep learning for LiDAR perception, building on a progression from master's research and multiple industry internships in computer vision, AR/VR, and ultrasound analysis. He is a Candidate to the engineering profession (CEP) and has been involved in pedagogical development as a teaching assistant across robotics and deep learning courses. William also co-authored work that led to an allowed US patent in aerial cable detection and 3D modeling, evidencing an ability to translate research into protected industry impact. Comfortable bridging academia and industry, he combines rigorous experimental research with practical system development for robotics and sensing pipelines. Based in Guelph, Ontario, he brings a rare mix of invention-driven thinking and hands-on implementation across perception, automation, and teaching.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Université Laval
Sciences Naturelles, Sciences Naturelles at Cégep Limoilou
French, English