| CARVIEW |
About me
I am a Postdoctoral Researcher at Meta AI in Paris, where I am advised by Yann LeCun. My research currently focuses on self-supervised learning. I am also curious about technology and its implications in politics and entrepreneurship. I sometimes write on these subjects for different organizations such as the Group for Geopolitical Studies, a european think-tank hosted at École normale supérieure.
Prior to that, I was a PhD Student in Machine Learning in the Sierra research team at Inria, where I was co-advised by Julien Mairal and Alexandre d'Aspremont. During my PhD, I proposed architectural improvements for learning from small or medium sized datasets such as scientific data.
Interests
- Self-supervised learning
- Kernel methods
- Machine learning for Fundamental Science
- Technology policies and Entrepreneurship
Education
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PhD in Machine Learning, 2022
Inria
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MSc in Machine Learning (MVA), 2018
ENS Paris-Saclay
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Diplôme d'Ingénieur (Theoretical Physics, Business Studies), 2017
École polytechnique
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Research Intern, 2016
MIT, Department of Nuclear Science and Engineering
News
[07/06/22] I talked about Graph Transformers at X-IA#10: State of the Graphs in Paris and at SGDMAL in Rennes.
[21/02/22] I started to work at Meta AI as a Postdoctoral Researcher.
[19/01/22] I successfully defended my PhD, whose title is “On Inductive Biases for Machine Learning in Data Constrained Settings”.
[04/02/21] I talked about “How Natural Language Processing is reshaping Machine Learning” at the Paris NLP Meetup.
[12/01/21] Our paper A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention was accepted to ICLR 2021.
Recent Publications
Recent & Upcoming Talks
Recent Posts
Notes I wrote (in French) for various organizations.
L'oeil d'Apple dans nos iPhones ?
Les outils développés par Apple pour traquer et signaler automatiquement les images pédopornographiques stockées sur les smartphones de ses utilisateurs soulèvent de nombreuses inquiétudes relatives à la protection des données. Ils sont surtout le symptôme d'une évolution dans les standards de traitement des données par les géants du numérique. Une analyse à retrouver sur le site de la revue Esprit.
Le logiciel libre, outil de soft power et de lutte contre le Covid-19
Gustave Ronteix et moi-même avons interrogé Alexandre Gramfort, chercheur en machine learning à Inria Saclay, pour le Grand Continent. Open source comme outil stratégique, naissance de scikit-learn, IA en santé, GAFAs et monde académique : le résultat est passionnant et disponible ici.