Fel’s research focuses on large vision models, particularly their explainability. Motivated to uncover the secrets behind their exceptional ability to generalize, Fel blends computational techniques with insights from neuroscience to better grasp the inner workings of these models. This interdisciplinary approach not only aims to enrich the understanding of artificial intelligence, but also positions this knowledge as a tool for probing into human intelligence.