Irene Chen

Irene Chen is an Assistant Professor in UC Berkeley and UCSF’s Computational Precision Health program with a joint appointment in Electrical Engineering and Computer Science. Her work centers on machine learning methods for improving clinical care and making it more equitable, as well as auditing and addressing bias in algorithmic models. 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 in EECS by University of California Berkeley, Harvard, and University of Maryland. Irene received her PhD in Electrical Engineering and Computer Science from MIT, her AB/SM in Applied Math from Harvard.