Romane Cecchi

Romane Cecchi is a Research Fellow at the Laboratory for Cognitive and Computational Neuroscience (LNC2) at Ecole Normale Superieure in Paris, France, affiliated with the Human Reinforcement Learning team. Her work bridges experimental psychology, neuroscience, and computational modeling to investigate learning mechanisms in humans.

Her research centers on human reinforcement learning, examining how reward-based learning shapes decision-making through cognitive and neural processes. This spans computational neuroscience for modeling neural pathways, cognitive neuroscience for behavioral analysis, and machine learning for algorithmic insights into adaptive behaviors. Key subfields include neural coding of rewards, computational psychiatry applications, and cross-species learning comparisons.

At LNC2, she contributes to interdisciplinary projects within the Human Reinforcement Learning team, utilizing methodologies from behavioral experiments to neuroimaging. The laboratory's focus on computational approaches to cognition drives innovation in understanding learning pathologies and developing AI-inspired cognitive models.