Summary
Philippe Nadeau is a Senior AI Developer and robotics PhD whose 11-year career blends cutting-edge research with production-grade robot software for human-centric environments. He focuses on perception-driven planning and fast, general algorithms to boost autonomy of mobile manipulators and collaborative robots in object-handling and contact-rich tasks, with publications in top conferences and journals. His work spans academia and industry—from a PhD at the University of Toronto/UTIAS STARS Lab and a visiting stint at UC Berkeley to building autonomous systems at Vention—showing an ability to move ideas from simulation and ROS prototypes into real robots. He brings deep experience in model-based reinforcement learning, visuo-tactile feedback, and real-time control from projects ranging from underwater soft-finger grasping to haptic wheelchair simulators. Based in Montreal, Philippe combines technical rigor (near-perfect academic record) with practical systems engineering and a broader interest in using robotic tech to reduce inequality and environmental impact.
11 years of coding experience
Automated Manufacturing Engineering, 4.25/4.3, Automated Manufacturing Engineering, 4.25/4.3 at École de technologie supérieure
PhD Aerospace Science and Engineering, 4.0/4.0, PhD Aerospace Science and Engineering, 4.0/4.0 at University of Toronto, Robotics Institute
Engineering Physics Technology, Engineering Physics, 92%, Engineering Physics Technology, Engineering Physics, 92% at Cegep André-Laurendeau
French, English