is a post-doc of the MINIMAL project working on behavioral experiments combined with computational modeling. Starting from physics applied to neurobiological data, she continued with a Phd in computational neuroscience which led to two subsequent postdoc positions on cortical network models. She then shifted towards more experimental projects that deal with real-world data, e.g., the investigation of moths’ olfactory search strategies. Due to her strong interest in the relationship between perception and behavior, she applied for the minimal project and is now focusing on operant learning and decision mechanisms.