Su-In Lee

Professor Su-In Lee is the Paul G. Allen Endowed Professor of Computer Science at the University of Washington's Paul G. Allen School of Computer Science & Engineering. She also holds adjunct appointments in the Department of Genome Sciences, Department of Electrical & Computer Engineering, and Biomedical Informatics and Medical Education.

Her research expertise spans Artificial Intelligence, Computational Biology, Explainable AI, and Machine Learning. Professor Lee is recognized as a pioneer in explainable AI (XAI), particularly for her development of the Shapley Additive Explanations (SHAP) framework that has significantly advanced the interpretability of machine learning models. Her work fundamentally shifts how AI is integrated into biomedical research, enabling novel discoveries from high-throughput molecular data and electronic health records.

• Samsung Ho-Am Prize (first woman to receive the Engineering award in its 34-year history)
• International Society for Computational Biology (ISCB) Innovator Award
• National Science Foundation (NSF) CAREER Award
• ACS Research Scholar
• American Institute for Medical and Biological Engineering (AIMBE) Fellow

Professor Lee leads the AI for bioMedical Sciences (AIMS) Lab and is affiliated with the Institute for Medical Data Science (IMDS). Her research bridges fundamental XAI principles with innovative biomedical applications, spanning from basic biology to clinical medicine. As the Boeing Professor in Computer Science & Engineering, she continues to advance healthcare through AI integration while mentoring the next generation of researchers at the intersection of computer science, biology, and medicine.