Samuel Lavoie
Research Scientist at Google
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolSamuel Lavoie is a research scientist based in Montreal with a decade of experience developing large probabilistic and discrete representation models for multimodal and generative tasks. His work spans influential papers (Llip, SEM, DLC) on multimodal encoder objectives and discrete latent codes for image generation, and has bridged academic and industry labs through roles at Mila, Meta, and now Google. Trained in software engineering and computer science with a PhD track at Mila, he combines rigorous theoretical grounding with practical engineering from internships at Microsoft and industry experience. Notably, he has focused on discrete representation learning—an area that enables efficient, composable generation beyond standard continuous latent approaches—highlighting a practical bent toward scalable, modular generative systems.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Mila - Quebec Artificial Intelligence InstituteMaster's degree, Computer Science, Master's degree, Computer Science at Université de MontréalBachelor of Engineering (B.Eng.), Software Engineering, Bachelor of Engineering (B.Eng.), Software Engineering at Polytechnique MontréalHealth science, Science, Health science, Science at College de Maisonneuve
French, English
Github Skills (61)
representation-learning9
vision-and-language9
automatic-differentiation9
contrastive-learning9
graph-representation-learning9
vtk8
salesforce8
python8
jit8
composable8
gpu8
pytorch-lightning8
machine-learning8
vision-framework8
autodiff8
Programming languages (2)
Github contributions (5)
lavoiems/AICompetition-HearthStone
Mar 2019 - Mar 2019
Contributions:9 commits, 4 pushes in 1 day
lavoiems/SADt
Feb 2020 - Sep 2020
Contributions:261 commits, 211 pushes, 1 branch in 7 months
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