معرفی
Liam Paull is an Associate Professor at Université de Montréal’s Department of Computer Science and Operations Research, affiliated with Mila and the CIFAR Canadian AI Chair program. He co-leads the Montreal Robotics and Embodied AI Lab (REAL) and directs the Duckietown Foundation. His academic roles include teaching courses on autonomous vehicles (IFT6757) and operating systems (IFT2245).
Education: PhD (2013, University of New Brunswick), Postdoc (MIT Marine Robotics Group), Research Scientist (MIT CSAIL/Toyota Autonomous Car Project).
Research focuses on robotics, emphasizing representations for SLAM, uncertainty modeling, and embodied AI workflows. Key projects include the AI Driving Olympics, curriculum learning for robotics, and safety-critical policy optimization. He leads grants from CRSNG, MITACS, and others, with over $5M in funding.
Notable awards include the 2024 Computer Science Canada Early Career Award and the 2019 CIFAR AI Chair. Supervised 16+ graduate students, with thesis topics ranging from generative models in robotics to uncertainty calibration in neural networks.
Labs/Teams: REAL Lab, Duckietown Foundation, collaborations with MIT CSAIL and IVADO. Active in tech transfer and outreach, including public robotics education initiatives.
