Aarash Feizi
Student Researcher at Google
Montreal, Quebec, Canada
Summary
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Senior🎓
Top SchoolAarash Feizi is a PhD student researcher at McGill and Mila with eight years of experience applying self-supervised learning to improve robustness against real-world and out-of-distribution data. His work spans academia and industry, including research roles at Google, ServiceNow Research, Recursion, and an adversarial-robustness internship at the University of Toronto. He focuses on bridging theoretical advances in representation learning with practical defenses for models deployed in noisy, adversarial settings. Based in Montreal, Aarash leverages a background in computer engineering from Sharif and graduate training at McGill to tackle reproducibility and robustness challenges. He is known for combining rigorous experimentation with attention to deployment-relevant failure modes, making his research directly translatable to production ML systems.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Mila - Quebec Artificial Intelligence InstituteBachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Sharif University of TechnologyMaster's degree Computer Science, Master's degree Computer Science at McGill UniversityProgramming languages (2)
Github contributions (5)
aarashfeizi/ht-imagev2
Dec 2021 - Nov 2022
Contributions:484 pushes, 2 branches in 10 months
aarashfeizi/hotel-classifier
Apr 2020 - Jul 2020
Contributions:98 commits, 117 pushes, 2 branches in 3 months
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