Daniel Khashabi is an assistant professor of computer science at Johns Hopkins University and a member of the Center for Language and Speech Processing.
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 systems that are capable of understanding and reasoning with (and about) an uncertain world while being general enough to handle a broader space of contexts.
He obtained a PhD 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).
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Experts at Johns Hopkins University's AI-X Foundry Fall 2023 Symposium reveal the potential of artificial intelligence—and of the institution's unprecedented investment in data science and AI—to revolutionize discovery and progress across all fields of study.
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Inspired by journalists, Hopkins researchers discover a new technique to ground a large language model's answers in reality.
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Johns Hopkins computer scientist Daniel Khashabi discusses the pros and cons of the revolutionary natural-language processing tool—and predicts where it may head in the future.