I am a PhD student under the supervision of Florence d’Alché-Buc, Rémi Flamary and Charlotte Laclau in Télécom Paris and Ecole Polytechnique.

Research Topic

My PhD focuses on applying Deep Learning to Structured Data through differentiable algorithms inspired by Optimal Transport. I also work on applying these approaches to real-world data, with a particular focus on large molecular data and attention-based architectures.

My other topics of interests include generative modelling and the robustness of deep learning models to evasion and data poisoning adversarial attacks.

News

Any2Graph, my first phd paper, has been accepted as a spotlight at Neurips 2024!

GRALE, my second phd paper is under review.