Su-In Lee
Also known as 이수인
Su-In Lee studies explainable machine learning for biology and medicine, including the SHAP framework and the surgical risk system Prescience. Born in Busan in 1979, she earned a KAIST degree in electrical engineering and computer science in 2001 and a Stanford doctorate under Daphne Koller in 2009. She joined the University of Washington in 2010 after a visiting assistant professorship at Carnegie Mellon and received an NSF CAREER Award in 2016. With Scott Lundberg she published SHAP at NIPS in 2017 and Prescience in 2018. She is the Boeing Endowed Professor of Computer Science at Washington and director of the AIMS Lab, named to the professorship in 2025, and in September 2026 she still holds that professorship after the 2024 Samsung Ho-Am Prize in Engineering, the ISCB Innovator Award, and AIMBE fellowship.
- Now at
- University of Washington
- Works
- 220
Publication numbers from OpenAlex, as of 17 October 2026. Citations and h-index are hidden because this OpenAlex record may be incomplete or mix in other authors.
Timeline
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1979–2009
From Busan to Stanford
Born in Busan in 1979, she studies at Seoul Science High School and earns a bachelor's degree in electrical engineering and computer science from KAIST in 2001. She completes a computer science doctorate at Stanford in 2009 under Daphne Koller, on machine learning and the genetic basis of complex traits.
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2010–2021
Joining the Allen School
After a visiting assistant professorship at Carnegie Mellon University, she joins the University of Washington in 2010. She receives a Paul G. Allen Career Development Professorship in 2021.
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2016
An NSF CAREER Award
She receives an NSF CAREER Award in 2016 for computational methods that study how regulatory molecules interact with the human genome.
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2017
The SHAP framework
With Scott Lundberg, she presents SHAP, or SHapley Additive exPlanations, at NIPS in 2017. The framework assigns each feature an importance value for a particular prediction.
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2018
Prescience during surgery
With Scott Lundberg, she publishes Prescience in 2018, a system that predicts hypoxemia during surgery and explains the patient factors behind that risk.
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2024
Ho-Am, ISCB and AIMBE
She receives the 2024 ISCB Innovator Award, and in March 2024 the American Institute for Medical and Biological Engineering inducts her as a fellow. The Ho-Am Foundation names her the 2024 Samsung Ho-Am Prize laureate in engineering, the first woman to receive the engineering prize in its 34-year history.
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Since 2025
Boeing Professor at Washington
She is named Boeing Endowed Professor of Computer Science in 2025 and enters the 2025 class of fellows of the International Society for Computational Biology. Her research, based in the AI for bioMedical Sciences Lab, runs from basic biology to clinical medicine, and from 2020 she directs the Computational Molecular Biology program. She is a panellist at the September 2026 Nobel Prize Dialogue in Seoul, still the Boeing Endowed Professor of Computer Science.
Sources and credits
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- Su-In Lee - Wikipedia
- AIMS Lab - Su-In Lee
- UW CSE's Su-In Lee wins NSF CAREER Award
- A Unified Approach to Interpreting Model Predictions
- [1705.07874] A Unified Approach to Interpreting Model Predictions
- Prescience: Helping doctors predict the future | UW News
- Three is a magic number: Professor Su-In Lee earns trio of honors, including the Korean Nobel Prize in engineering, for advancing AI for biomedicine
- Su-In Lee, Ph.D. COF-9069 - AIMBE
- Allen School professor Su-In Lee recognized as a Fellow of the International Society for Computational Biology
- Nobel Prize Dialogue - NobelPrize.org
- Su-In Lee, Professor - Paul G. Allen School of Computer Science & Engineering