Irene Chen is an assistant professor at UC Berkeley and UCSF’s Computational Precision Health program with a joint appointment in UC Berkeley EECS. 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. Chen received her PhD in Electrical Engineering and Computer Science from MIT, and her AB/SM in Applied Math from Harvard.


  • 2022, PhD, Computer Science and Electrical Engineering, MIT
  • 2014, AB/SM, Applied Math, Harvard