I am a research scientist (Inria Starting Faculty Position) in the MAASAI team at Inria d’Université Côte-d’Azur since October 2024. At Inria, I study on a wide range of deep learning problems:

• Using existing information in neural networks (biases, priors, …)
• General Deep Learning (Architectures, Training schemes, …)
• Computer Vision (Diffusion models, …)
• Deep Learning for Physics (PINNs, …)
• Robotics (VLA, …)
• Multimedia understanding (Concept based methods, …)

I am mainly interested in how we can inject things we know about problems into how neural networks work!

I was previously a postdoctoral researcher in the same MAASAI team at Inria Sophia Antipolis (advised by Diane Lingrand and Frederic Precioso) working on the MultiTrans project. I previously defended my PhD in late 2022 on content combination strategies for image classification at Sorbonne University’s Machine Learning and Information Access (MLIA) team and Thales Land and Air Systems under the supervision of Matthieu Cord, Nicolas Thome, Clément Masson and Gilles Hénaff. Before that, I worked as a research intern at Conservatoire National des Arts et Métiers on deep learning for EEG classification, at the Empirical Inference department of Tuebingen’s MPI for Intelligent Systems on causal analysis of deep generative models, at IST Austria on detection of OOD network predictions and at IRISA on deep representations for protein sequences.