Faculty

Yejin Choi is Wissner-Slivka Professor at the Paul G. Allen School of Computer Science & Engineering at the University of Washington. Her research investigates a wide variety problems across NLP and AI including fundamental limits and capabilities of large language models, alternative training recipes for small language models, neuro-symbolic fusion, commonsense knowledge and reasoning, moral norms and values, pluralistic alignment, and AI safety.

Choi is a MacArthur Fellow, was named among Time100 Most Influential People in AI in 2023, and is a co-recipient of 2 Test-of-Time Awards (ACL 2021 and CVPR 2021) and 8 Best and Outstanding Paper Awards at ICCV, ICML, NeurIPS, ACL, NAACL, EMNLP and AAAI. She has also won the Borg Early Career Award (BECA) in 2018, the inaugural Alexa Prize Challenge in 2017, and IEEE AI’s 10 to Watch in 2016. She received her Ph.D. in Computer Science at Cornell University and BS in Computer Science and Engineering at Seoul National University in Korea.