I was trained in psychology and neuroscience at Aix-Marseille Université and completed a master’s in cognitive science at Université Lumière Lyon 2. I earned my Ph.D. in neuroscience at Université Claude Bernard Lyon 1, under the supervision of Jean-Claude Dreher and Marie Claire Villeval. My doctoral work focused on the neurocognitive mechanisms underlying the transmission of uncertain information in social and economic environments.

Over the years, I’ve adopted a multidisciplinary approach to decision-making - bridging behavioral experiments, computational modeling, and brain imaging to understand belief formation, preference learning, and social inference. I’ve worked on questions ranging from reward learning and moral decision-making to updating beliefs about others, updating trust in others, and networked cognition.

In my current work, I supervise computational neuroscience research projects focused on social learning, particularly examining trust in dynamic and uncertain environments using computational models, fMRI, and behavioral game theory approaches.

Additionally, I contribute to lab-wide infrastructure for data stewardship, modeling workflows, and reproducible pipelines. I’m also interested in the development of AI tools that support scientific reasoning and help structure the production of knowledge. Overall, I strongly believe in, and apply, continuous learning. To that extent, I enjoy working with cutting-edge methods and technologies (e.g., Bayesian inference, LLM and AI agents).