Cédric Rommel, PhD

Machine Learning Researcher

Passionate about machine learning research in general and its applications for the common good.

I am a research scientist at Meta AI working in AI for neural interfaces. My work mostly revolves around the idea of learning and exploiting data symmetries (invariances and equivariances) to make neural networks more data efficient and robust. You can find more details about my research and professional journey in the About section or in my most recent papers.

Feel free to drop me an email or follow me on twitter if you want to collaborate or just chat about ML.