Irene Chen is an Assistant Professor at UC Berkeley and UCSF in Computational Precision Health and EECS and a faculty member of Berkeley AI Research (BAIR). Her research focuses on developing machine learning systems for healthcare that are more robust, impactful, and equitable. In particular, she develops computational tools for statistical inference with ML models, noisy data-constrained settings, and addressing algorithmic bias. She received her PhD from MIT EECS and her joint AB/SM in Applied Math from Harvard University. Previously, she was a postdoctoral researcher at Microsoft Research New England.