Nadav Amir

Nadav Amir is a postdoctoral research fellow at the Princeton Neuroscience Institute, collaborating with Dr. Angela Langdon (NIMH) and Prof. Yael Niv. His work explores the computational principles of experience-based learning of purposeful behaviors, integrating behavioral neuroscience, reinforcement learning, and philosophical traditions.

• Former postdoc at the High Level Cognition Lab, Tel Aviv University
• PhD from Edmond and Lilly Safra Center for Brain Sciences, Hebrew University of Jerusalem

Research spans cognitive science, neuroscience, and computational theory, emphasizing the interplay between goals and environmental interactions. Interests include reinforcement learning, control theory, and philosophy of mind, aiming to unify natural and artificial learning frameworks.