Bio

Dr. Aldo Battista is a Swartz Fellow in Theoretical Neuroscience at the Center for Neural Science at New York University, where he investigates the computational principles underlying brain function. His research lies at the intersection of neuroscience, artificial intelligence, and statistical physics, with a focus on biologically inspired neural architectures for learning, memory, vision, and decision-making.

He earned his Ph.D. in Theoretical Physics from the École Normale Supérieure in Paris, where he applied methods from statistical physics to develop novel models of neural computation. Prior to his doctoral work, he received both his M.Sc. and B.Sc. in Theoretical Physics with highest honors from Sapienza University of Rome.

Aldo’s work integrates techniques from machine learning, computational neuroscience, and dynamical systems theory to build interpretable models of cognition and behavior. His long-term goal is to bridge biological understanding with artificial intelligence through the lens of large-scale, neurobiologically grounded models.