Liam Paull
Associate Professor
Montreal, Quebec, Canada
Summary
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Senior🎓
Top SchoolLiam Paull is an associate professor at Université de Montréal and co-leads the Robotics and Embodied AI Lab, bringing 11+ years of experience in autonomous systems research and education. He transitioned from leading a Toyota-funded autonomous driving project as a research scientist at MIT to postdoctoral work in marine robotics at MIT CSAIL, and his PhD focused on adaptive planning and localization for multi-AUV mine countermeasure surveys. His research spans autonomous driving, resource-constrained inference and planning, cooperative localization, SLAM, and multi-robot coverage path planning, with a practical bent toward deploying robust algorithms on real platforms. As Chief Education Officer at Duckietown he combines classroom pedagogy with hands-on robotics outreach, reflecting a knack for translating complex research into teachable, reproducible systems. Based in Montreal, he maintains an active academic profile and makes his publications and CV available via his MIT-affiliated personal site.
11 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (PhD) Electrical and Electronics Engineering, Doctor of Philosophy (PhD) Electrical and Electronics Engineering at University of New BrunswickBachelor of Engineering (B.Eng.) Computer Engineering, Bachelor of Engineering (B.Eng.) Computer Engineering at McGill University
Stackoverflow
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0reached
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Github Skills (65)
simulator10
ros10
robotics10
openai-gym10
q-learning10
reinforcement-learning10
simulation10
imitation-learning10
gazebosim10
universe10
robot10
python9
racing9
kotlin9
crossword9
Programming languages (14)
Github contributions (5)
montrealrobotics/montrealrobotics.github.io
Jun 2023 - Mar 2025
Contributions:5 PRs, 55 pushes, 3 branches in 1 year 9 months
IFT2245/OSC9e
Jan 2018 - Jan 2022
Source code for "Operating System Concepts" - 9th Ed.
Contributions:26 commits, 1 PR, 22 pushes in 4 years
operating-systemoperating
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