Amin Abyaneh
Montreal, Quebec, Canada
Summary
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SeniorAmin Abyaneh is a PhD candidate and associate researcher at Mila/McGill with eight years of experience advancing safe, predictable robot control through a blend of imitation and reinforcement learning grounded in control-theoretic stability guarantees. His work spans academic and industry settings—from Max Planck and EPFL to hands-on sim-to-real manipulation projects using Nvidia Omniverse and Kinova arms—demonstrating both theoretical rigor and practical deployment. He has tackled decentralized learning and causal discovery for pandemic modeling and led TA teams in core electrical and CS courses, reflecting strong mentorship and systems intuition. Known for combining control theory with modern RL to produce globally stable, flexible policies, he brings a rare mix of mechatronics, embedded software, and research engineering. Based in Montreal, he pairs deep technical breadth with an ability to translate research into robust robotic behaviors.
8 years of coding experience
Github Skills (1)
android1
Programming languages (2)
Github contributions (5)
amehrjou/Pyfectious
Mar 2021 - Mar 2022
Contributions:29 commits, 27 pushes, 1 branch in 11 months
aminabyaneh/smart-greenhouse
Aug 2018 - Jan 2024
Contributions:15 pushes, 1 branch in 5 years 6 months
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