Innovation in protein design to target aging and age-related disease Dr. Baker has pioneered methods to predict and design the three-dimensional structures of proteins. He is the Henrietta and Aubrey Davis Endowed Professor in Biochemistry and an adjunct professor of Genome Sciences, Bioengineering, Chemical Engineering, Computer Science, and Physics. He serves as the Director of […]
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 […]
