👨🏼💻 Short Bio
I am a Research Scientist at FAIR Paris (Fundamental AI Research lab at Meta). My research focuses on content protection and security in machine learning, with a particular interest in generative models. I am the main contributor to the watermarking research at FAIR, which aims to make content generated by AI traceable and identifiable. This research has been published in top conferences and has been used in production by Meta. I am also more broadly interested in the interaction between machine learning and data protection.
I did my PhD at FAIR and INRIA Rennes, advised by Matthijs Douze, Hervé Jégou and Teddy Furon. Prior to my PhD I studied at École polytechnique, majoring in computer science and mathematics for visual computing. I also hold a Master’s degree from École des Ponts and from Paris-Saclay University where I studied Mathematics for vision and learning.
🎓 Education
FAIR and Inria Rennes
2021 - 2024.
PhD in Computer Science.
Part of a joint PhD program between Meta’s FAIR (Fundamental AI Research lab) in Paris and the Inria lab at University of Rennes.
- Advised by Matthijs Douze, Hervé Jégou and Teddy Furon
- Research on watermarking across modalities (image, audio, text) for content tracing and generative AI
- Part of bigger FAIR projects (like DINO, Seamless)
Paris-Saclay University
2020 - 2021.
World best university in Mathematics according to Shangai’s ranking - Masters of Science in Mathematics, Vision and Learning.
Courses syllabus of MVA. Homeworks and projects.
Relevant course work:
- Convex optimization and applications in ML, Kernel methods for ML, Reinforcement learning, Sequential learning, Graphs in ML, Computational statistics
- Numerical imaging, 3D Computer vision, Object recognition and computer vision, Point clouds and 3D modeling, Deep learning in practice, Digital humanities meet artificial intelligence
École des Ponts ParisTech
2020 - 2021.
Masters in Mathematics and Computer Science Engineering.
Relevant course work:
- Law, Accounting
- Project: Partnership with Renault - integrating optical character recognition into car GPS
École polytechnique
2017 - 2021.
Best Engineering School in France - Bachelor of Science & Masters of Science and Technology in Artificial Intelligence and Visual Computing.
Awards:
- Research Internship Award (granted to the 10 best internships of the year over 200)
- Outstanding Investment Award (rewarding the investment of a “student remarkable for his involvement in the life of the school”)
- Outstanding Leadership Award (rewarding the attitude of a “student who is remarkable for his ability to lead his fellow students and to unite them around a collective project or who demonstrates an acute sense of organisation and management”)
Relevant course work:
- Image analysis and computer vision, Representation and analysis of shapes, Computer graphics, Data visualization, Topological data analysis
- Advanced topics in AI, Machine & Deep Learning, Statistics, Markov Chains, Random Processes, Fundamentals of Probabilities
- Molecular biology and genetic information, Pathologies and therapeutic strategies
- Neuroscience & Cognitive sciences