Summary
Jérôme 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 Métiers
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at École de technologie supérieure (ÉTS)
French, English, German, Spanish