Dora Angelaki

Dora Angelaki is a Professor of Neural Science and Mechanical and Aerospace Engineering at New York University. She holds a Ph.D. from the University of Minnesota (1991). Her research focuses on understanding the computational principles underlying brain function, particularly in navigation, multi-sensory integration, and causal inference. She employs engineering approaches like Kalman filters and POMDP frameworks to study neural dynamics in macaques and rodents. Her work bridges neuroscience with artificial intelligence, aiming to explain how the brain optimally processes sensory information and how deficits arise in neuropsychological disorders.

Education: Ph.D., 1991, University of Minnesota.

Research Interests: Neural implementation of canonical computations, sensory inference, spatial orientation, and computational models of cognition. She investigates how hierarchical causal inference is implemented across brain regions, emphasizing dynamic reconfiguration of neural connectivity and belief propagation. Her lab explores these mechanisms using naturalistic foraging tasks and closed-loop virtual environments.

Lab Website: Pending

Contact: da93@nyu.edu

Advising and Grants: No explicit student advisees or grant details provided in text.

Labs/Teams: Her research group focuses on systems, computational, and cognitive neuroscience, with an international collaborative network as noted in her 2017 publication.