Vahid Balazadeh
Student Researcher at University of Toronto
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolVahid Balazadeh is a PhD student and researcher in computer science at the University of Toronto and Vector Institute, focused on causal inference, imitation learning, and offline reinforcement learning. He brings nine years of experience across research and industry, including roles at Google DeepMind, Autodesk (training large-scale vision-language models), Cafe Bazaar, and Max Planck Institute. His work blends theory and practice—developing tabular foundation models for causal questions and scaling vision-language systems—which enables translating observational data into actionable policies. Based in Toronto, he collaborates with Layer6 AI and publishes research under the supervision of Rahul Krishnan, combining strong mathematical background from Sharif University with hands-on ML engineering. An uncommon strength is his cross-domain proficiency spanning computational healthcare applications and production-scale model training.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of TorontoBachelor's degree, Computer Engineering, Mathematics, Bachelor's degree, Computer Engineering, Mathematics at Sharif University of Technology
Github Skills (16)
connectivity7
bids6
intellij-platform6
jetbrains6
visual-analytics6
intellij6
intellij-plugin6
latex5
visualization4
data-visualization3
causality2
pytorch-lightning2
machine-learning1
data-viz1
causal-discovery1
Programming languages (5)
Github contributions (5)
vdblm/Human-Machine-MDP
Sep 2019 - Jun 2020
Contributions:38 commits, 25 pushes, 1 branch in 8 months
HamidrezaKmK/oslow
Feb 2024 - Mar 2025
Contributions:23 pushes, 7 branches in 1 year 1 month
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