I am currently a postdoctoral researchers in the MAASAI team at Sophia Antipolis (advised by Diane Lingrand and Frederic Precioso) working on the MultiTrans project. My current research interests focus mostly on trajectory forecasting, online map acquisition, map representation, federated learning and knowledge injection in neural networks. 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.

• Current: Looking for an intern on diffusion models for data augmentation!
• Current: Looking for an intern on transfer learning between a simulator and real data in autonomous driving!
• December 15, 2023: Talk on Diffusion models for image edition at the Diffusion model reading group at Inria Sophia-Antipolis.
• November 31, 2023: Attending the Nice Workshop on Interpretability at Laboratoire Jean Alexandre Dieudonné (LJAD)!
• November 30, 2023: Talk on the state of AI research for Autonomous Driving at the Territories and Autonomous Driving workshop at Institut de la Méditerrannée et du Développement Durable (IMREDD).
• November 22-24, 2023: Attending SophIA Summit 2023 in Sophia-Antipolis!
• November 17, 2023: New preprint on the use of existing map data in online HDMap estimation!