Pierre-yves Lajoie
Assistant Professor at Polytechnique Montreal
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolPierre-yves Lajoie is an Assistant Professor at Polytechnique Montréal with a decade of experience bridging cutting-edge research and applied computer vision for robotics and geospatial AI. His work spans photogrammetry, SLAM, robust state estimation, distributed multi-robot perception and semantic segmentation, with notable research on outlier-robust pose graph optimization published in IEEE RA-L. He has blended academic rigor with industry-facing R&D at places like Samsung Research America and SimActive, where he focused on high-performance GPU implementations for precision photogrammetry. A hands-on mentor and former technical director of a competitive aerial robotics team, he knows how to take perception algorithms from theory to autonomous platforms. Based in Montreal, he combines strong mathematical foundations from his PhD with practical systems experience in distributed SLAM and multi-robot robustness.
10 years of coding experience
5 years of employment as a software developer
PhD, Computer Engineering, PhD, Computer Engineering at Université de Montréal - Polytechnique Montréal
French, English
Github Skills (52)
robotics10
localization10
slam10
ros9
privacy8
robot7
webots7
ros-node6
eagle6
heterogeneous5
raspberry5
marine5
mavlink5
simulator5
station4
Programming languages (8)
Github contributions (5)
lajoiepy/robust_multirobot_map_merging
Jul 2018 - Dec 2020
Contributions:65 commits, 36 pushes, 4 branches in 2 years 5 months
lajoiepy/cslam_experiments
Jan 2023 - Mar 2025
Swarm-SLAM experiment launch files and docker files
Contributions:1 PR, 20 pushes, 4 branches in 2 years 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.