Cédric Rommel
Research Scientist at Meta
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolCédric Rommel is a research scientist based in Paris with a decade of experience applying deep learning to neuroscience, neural interfaces and autonomous driving. Currently at Meta working on AI for neural interfaces, he brings a rare mix of academic rigor (PhD from École Polytechnique) and product-focused research from roles at Valeo and startups like Ava where he led AI strategy and shipped real-time speech systems used by hundreds of thousands. His research has emphasized learning data-driven invariances and optimal augmentations to make models less data-hungry—work that translated to practical advances in sleep stage classification and brain-computer interfaces. An active open-source contributor, he has contributed models and refactors to braindecode, a notable library for decoding EEG/ECG/MEG signals. Comfortable moving between research, engineering and team leadership, he has a track record of turning novel ML ideas into production-ready systems. Colleagues describe him as someone who bridges neuroscience insight and engineering pragmatism to accelerate applied AI.
10 years of coding experience
9 years of employment as a software developer
PhD Machine Learning and Optimization, PhD Machine Learning and Optimization at École PolytechniqueMaster's degree of Sciences & Executive Engineering Major in Mechanical Engineering, Master's degree of Sciences & Executive Engineering Major in Mechanical Engineering at Mines Paris - PSLMathematics Physics Chemistry and Engineering, Mathematics Physics Chemistry and Engineering at Lycée Hoche
English, Spanish, Portuguese, French, Chinese, German
Github Skills (11)
neural-network10
model-building10
pytorch10
machine-learning10
deeplearning-ai10
deep-learning10
python10
modeling10
model-driven10
model-driven-development10
data-augmentation9
Programming languages (4)
Github contributions (5)
braindecode/braindecode
Jul 2022 - Nov 2022
Deep learning software to decode EEG, ECG or MEG signals
Role in this project:
ML Engineer
ML EngineerContributions:50 reviews, 42 commits, 15 PRs in 4 months
Contributions summary:Cédric primarily contributes to the `braindecode` repository, focusing on deep learning models for EEG analysis. Their work involves debugging and fixing issues within the augmentation and model modules, resolving compatibility problems related to the `torch.linalg` library, and implementing new models, such as EEGInceptionMI and ATCNet. Additionally, the user addresses documentation issues and refactors the code to improve maintainability.
pytorchneuroimagingneurosciencepythondeep-learning
cedricrommel/cedricrommel.github.io
Sep 2017 - Oct 2024
My research webpage, based on S. Kopplin's Indigo template.
Contributions:5 PRs, 146 pushes, 1 branch in 7 years 2 months
indigowebpage
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