Faculty

Yulia Tsvetkov is an associate professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. She is also an adjunct professor at the Language Technologies Institute at Carnegie Mellon University. Tsvetkov works on natural language processing, with a particular interest in hybrid solutions at the intersection of machine learning and theoretical or social linguistics, i.e., solutions that combine interesting learning/modeling methods and insights about human languages or about people speaking these languages.

Much of her research group’s work focuses on understanding and advancing large language models, AI ethics, multilingual learning, and machine learning for NLP. This research is motivated by a unified goal: to extend the capabilities of human language technology beyond individual populations and across language and culture boundaries, thereby enabling NLP for all users.

Previously, Tsvetkov was an assistant professor in the Language Technologies Institute, School of Computer Science at Carnegie Mellon University, and before that a postdoc in the Stanford NLP Group. She got her Ph.D. from CMU. Honors include the NSF CAREER award, Sloan fellowship, Okawa research award, best/outstanding paper awards and runner-ups, and several industry research faculty awards.