Assistant Professor
School of Social Sciences

Computational models; Language and Cognition; Artificial Intelligence; Machine Learning; Natural Language Processing; Information Theory

www.nogsky.com

My research aims to understand language, learning, and reasoning from first principles, building on ideas and methods from machine learning and information theory. I’m particularly interested in finding computational principles that explain how we use language to represent the environment; how this representation can be learned in humans and in artificial neural networks; how it interacts with other cognitive functions, such as perception, action, social reasoning, and decision making; and how it evolves over time and adapts to changing environments and social needs. I believe that such principles could advance our understanding of human and artificial cognition, as well as guide the development of artificial agents that can evolve on their own human-like communication systems without requiring huge amounts of human-generated training data.

I’m an Assistant Professor in the Language Science Department at UCI. Before joining UCI, I was a Postdoctoral Fellow at MIT, in the Department of Brain & Cognitive Sciences and the McGovern Institute for Brain Research. I obtained my PhD under the advisorship of Naftali Tishby at the Center for Brain Sciences at the Hebrew University. During grad school, I was also a visiting student at UC Berkeley for two years, and a research intern at IBM Project Debater.

Center for Machine Learning and Intelligent Systems

Center for Theoretical Behavioral Sciences

Link to this profile
https://faculty.uci.edu/profile/?facultyId=7210

Last updated
10/24/2023