UW Medicine

Su-In Lee

Su-In Lee


Associate Professor, Paul G. Allen School of Computer Science & Engineering
Associate Professor, Genome Sciences




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Understanding aging through explainable machine learning The Lee lab seeks to develop explainable AI for life sciences.  Explainable in this context means understanding which features drive the prediction.  The Lee lab has been collaborating with the Kaeberlein lab to develop and apply machine learning to aging biology, with the initial goal of using noisy human […]

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