Presenting ERSM at IJCAI 2026
Four days in Bremen for IJCAI-ECAI 2026, my first A* conference, where I presented our paper ERSM.
PhD student in deep learningCo-founder of Tensaure
I’m a PhD student in deep learning at Université Paris-Saclay, between the DAVID lab (UVSQ) and LISN. I work on methods that help deep networks, from CNNs to vision transformers, focus on the features that matter, to make them more robust and easier to interpret.
I hold a Master’s degree in Econometrics and Statistics from Toulouse School of Economics, and a double bachelor’s degree in Applied Mathematics and Economics from the same school.
On the side, I co-founded Tensaure, a startup born from a Google hackathon, which builds optimisation models for companies.
Four days in Bremen for IJCAI-ECAI 2026, my first A* conference, where I presented our paper ERSM.
A day at STATION F for Startup School Paris, Y Combinator’s event for builders from across France and Europe.
Three days in Bruges for ESANN 2026, where I presented our paper on a new kind of dropout for CNNs.