Quentin Bouniot is Assistant Professor and Hi! PARIS Chair holder at Télécom Paris, for the 2026-2029 period. He is a member of the LTCI lab within the S2A team. His research focuses on deep representation learning, with a particular interest in foundation models, multimodal AI and explainable machine learning.

His Hi! PARIS Chair project explores how representations are built, aligned and interpreted within foundation models, especially across modalities such as vision and language. His work aims to improve the understanding, robustness and transparency of AI systems, with applications in multimodal learning, uncertainty quantification and learning from limited labeled data.