Su-In Lee

Su-In Lee (Korean: 이수인; born 1979) is a South Korean and American computer scientist known for her research on explainable artificial intelligence and its applications in biomedical research. She is a Boeing Endowed Professor of Computer Science in the Paul G. Allen School of Computer Science and Engineering at the University of Washington.¹

Lee was born in Busan in 1979.² She became a student at Seoul Science High School, and earned a bachelor's degree in electrical engineering and computer science from KAIST in 2001.³ She went to Stanford University for graduate study in computer science, and completed her Ph.D. in 2009 in the Stanford Artificial Intelligence Laboratory⁴ with the dissertation Machine learning approaches to understand the genetic basis for complex traits supervised by Daphne Koller.³⁵

After postdoctoral research as a visiting assistant professor at Carnegie Mellon University, Lee joined the University of Washington in 2010. She was given a Paul G. Allen Career Development Professorship in 2021, and was named as a Boeing Endowed Professor of Computer Science in 2025.³

Lee was the 2024 laureate of the Ho-Am Prize in Engineering,² and the 2024 recipient of the ISCB Innovator Award of the International Society for Computational Biology.⁶

She was named as a Fellow of the American Institute for Medical and Biological Engineering in 2024, "for development of foundational AI principles and techniques to catalyze biomedical discoveries and insights and advance human health",⁷ and as a Fellow of the International Society for Computational Biology in 2025.⁸