Noga Zaslavsky is assistant professor of psychology at New York University. In her research, she aims to understand the computational principles that underlie language, learning and reasoning, by integrating methods from information theory, machine learning and cognitive science.
Zaslavsky holds a Ph.D. in computational neuroscience and was an Integrative Computational Neuroscience (ICoN) Postdoctoral Fellow at the Massachusetts Institute of Technology before starting her own research lab. Her work has been recognized by several awards, including a James S. McDonnell Foundation Understanding Human Cognition Award and a Computational Modeling Prize from the Cognitive Science Society. Learn more about her work.