Bio: Irene Chen is an assistant professor at UC Berkeley and UCSF in Computational Precision Health and EECS. She studies machine learning systems for healthcare to be more robust, impactful, and equitable. Her work has been published in machine learning conferences (NeurIPS, AAAI) and medical journals (Nature Medicine, Lancet Digital Health), and has been covered by media outlets including MIT Tech Review, NPR/WGBH, and Stat News. She has been named a Rising Star by UC Berkeley, Harvard University, and the University of Maryland. Irene received her PhD in Electrical Engineering and Computer Science from MIT, and her joint AB/SM in Applied Math from Harvard.