I’m a K. Lisa Yang Integrative Computational Neuroscience (ICoN) Postdoctoral Fellow at MIT’s McGovern Institute for Brain Research and a Fellow in Computation in MIT’s Department of Brain & Cognitive Sciences, where I collaborate with several labs including the Computational Psycholinguistics Lab, TEvLab, MetaConscious Group, and the Computational Cognitive Science Group. 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, 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 cognition and guide the development of artificial agents that can communicate and collaborate with humans.
Before joining MIT, I did my PhD under the advisorship of Naftali Tishby at the Center for Brain Sciences at the Hebrew University. I was also a visiting graduate student at UC Berkeley for two years, where I was affiliated with the LCLab, the Simons Institute, and ICSI. Before that, I was a research intern at IBM Project Debater. My BSc is in Computer Science and Cognitive Science from the Hebrew University.
Zaslavsky, Kemp, Regier and Tishby. PNAS, 2018.ELSC Prize for Outstanding Publication
Eisape, Levy, Tenenbaum, and Zaslavsky. BAICS, ICLR 2020
Zaslavsky, Maldonado, and Culbertson. CogSci 2021.
Zaslavsky, Kemp, Tishby and Regier. topiCS, 2019.CogSci Computational Modeling Prize