Quentin Fournier
Research Fellow at Mila - Institut québécois d'intelligence artificielle
Montreal, Quebec, Canada
Summary
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Senior🎓
Top SchoolQuentin Fournier is a Research Fellow at Mila with 10 years of experience applying neural networks and Transformer architectures to real-world problems, most recently exploring language models for drug discovery. He completed a PhD at Polytechnique Montréal where he used Transformers to detect anomalies in Linux kernel traces and taught the graduate Data Mining course, blending research with pedagogy. His background spans academic internships and industry projects—speaker verification, detection/classification tasks, and long-term dependency modeling—demonstrating a knack for adapting deep learning to low-level and applied domains. Based in Montreal, he moves fluidly between foundational research and translational applications, bringing practical engineering experience to high-impact AI problems.
10 years of coding experience
Master of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at INSA Rennes - Institut National des Sciences Appliquées de RennesDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Polytechnique Montréal
French, English
Github Skills (23)
alarm10
clock10
robotics9
capability9
computer-vision9
tracer8
deep-learning8
natural-language-processing8
machine-learning8
artificial-intelligence8
lttng8
linux-kernel7
kernel7
multi-gpu7
gpu6
Programming languages (4)
Github contributions (5)
qfournier/syscall_args
Oct 2020 - Feb 2021
Contributions:4 commits, 3 pushes, 1 branch in 4 months
qfournier/IFT6135_2019
Jan 2019 - Apr 2019
Contributions:68 commits, 47 pushes, 1 branch in 2 months
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