Jean-francis Roy
R&D Director Of Machine Learning Staff Applied Scientist at Coveo
Quebec, Quebec, Canada
Summary
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Senior🎓
Top SchoolJean-francis Roy is an R&D Director and Staff Applied Scientist with 16 years of experience building and leading machine learning teams at Coveo, combining deep academic rigor from a Ph.D. in computer science with practical production delivery. His doctoral work introduced a family of PAC-Bayesian–justified ensemble algorithms that optimize voter disagreement and remain competitive with state-of-the-art methods, reflecting a strong foundation in theoretical ML and reproducible research. At Coveo he progressed from research intern to director, shipping ML-driven search features and scaling research into product impact while mentoring teams. He also has a history of teaching core CS courses and contributing to open-source Linux projects, demonstrating both pedagogical strength and systems-level curiosity. Based in Quebec City, he blends research, engineering, and team leadership to turn advanced learning algorithms into usable, business-facing systems. A less obvious trait: his background spans low-level systems (Funtoo/GNU Linux) to high-level statistical learning, giving him rare fluency across the full ML stack.
16 years of coding experience
6 years of employment as a software developer
B.Sc.A, Computer Sciences, B.Sc.A, Computer Sciences at Université LavalDEC, Informatique, DEC, Informatique at Collège François-Xavier-GarneauMachine Learning, Machine Learning at Machine Learning Summer School
French, English
Github Skills (52)
merge10
script10
shell8
bash8
uvloop8
linux8
linux-distribution8
twisted7
mongodb7
whatsapp7
telegram6
overlay6
tornado6
python6
pipelining6
Programming languages (6)
Github contributions (5)
GRAAL-Research/MinCq
Apr 2014 - Feb 2019
Contributions:19 commits, 1 push, 5 comments in 4 years 10 months
jeanfrancisroy/jeanfrancisroy.github.io
Jan 2016 - Oct 2020
Contributions:36 pushes, 2 branches in 4 years 9 months
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