I am currently an ATER, a temporary teaching and research fellow, at Sorbonne Université, in the STIH laboratory (Sens, Texte, Informatique, Histoire), within the computational linguistics team. I was previously a postdoctoral researcher at the Centre de Recherche en Informatique de Lens (CRIL, CNRS & Université d’Artois) and at the Laboratoire d’Étude et de Recherche en Informatique d’Angers (LERIA, Université d’Angers). In 2022, I completed my PhD in cognitive science at the Institut Jean Nicod in Paris.

My research focuses on the role of mental models in reasoning, language understanding, and artificial intelligence. In cognitive science, mental models are often understood as structured internal representations that allow humans to simulate situations, inspect relations between objects, and draw inferences. My work is especially concerned with diagrammatic, spatial, and embodied forms of representation.

I study these questions from both a cognitive and a computational perspective. On the cognitive side, I build on psychological theories of reasoning, in particular mental model theory and image schema theory. On the computational side, I develop neurosymbolic methods that combine learned representations, such as those produced by language models, with symbolic reasoning methods, especially Answer Set Programming, to improve the robustness, interpretability, and reasoning abilities of AI systems.