Jérôme Rony
Machine Learning Scientist at Variational AI
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolJérôme Rony is a Machine Learning Scientist based in Montreal with nine years of experience specializing in metric learning theory, adversarial attack algorithms, and training-time calibration for deep models. With a PhD in Computer Science and research roles spanning academia and industry, he focuses on efficient, extendable methods that balance theoretical rigor with practical deployability. He has contributed to the community as a reviewer for top venues (CVPR, NeurIPS, ICML) and built readable, shareable code to accelerate reproducible research. His background in mechanical and systems engineering informs a pragmatic approach to problem framing and optimization under nonlinear constraints. Currently at Variational AI after applied research roles including Synlico and Matrox Imaging, he combines deep research expertise with hands-on model development for real-world vision and robustness challenges. Colleagues describe him as someone who seeks clever, elegant solutions that scale beyond toy problems.
9 years of coding experience
3 years of employment as a software developer
Classes préparatoires PTSI - PT*, Classes préparatoires PTSI - PT* at Lycée Jean-Baptiste Say (Paris)Mechanical and Industrial Engineering, Mechanical and Industrial Engineering at Arts et Métiers ParisTech - École Nationale Supérieure d'Arts et MétiersDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at École de technologie supérieure (ÉTS)
French, English, German, Spanish
Github Skills (69)
adversarial-attacks10
python10
mixnet10
deep-learning10
gpu10
vision-transformer10
mnist10
robustness10
gpu-acceleration10
efficientnet10
distributed-training10
imagenet10
optimizer10
numpy10
resnet10
Programming languages (4)
Github contributions (5)
jeromerony/adversarial-library
Nov 2020 - Nov 2022
Library containing PyTorch implementations of various adversarial attacks and resources
Contributions:9 releases, 127 commits, 5 PRs in 2 years
adversarial-attackspytorchmachine-learning
jeromerony/distorch
Apr 2025 - Mar 2026
Efficient distance analysis for segmentation in PyTorch
Contributions:3 releases, 7 PRs, 68 pushes in 10 months
pytorchsegmentation
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