Daniel Khashabi is an assistant professor in computer science at Johns Hopkins University. Khashabi’s work focuses on computational foundations of intelligent behavior within various mediums of communication, particularly natural language. This involves developing formalisms that characterize and result in natural language processing (NLP) systems that are capable of understanding and reasoning with (and about) an uncertain world while being general to handle a broader space of contexts.

He obtained a Ph.D. from the University of Pennsylvania in 2019 and a BSc from Amirkabir University of Technology (Tehran Polytechnic) in 2012. Before joining Johns Hopkins he was a postdoctoral fellow at the Allen Institute for AI (2019-2022).