I am an Assistant Professor at UC Berkeley and UCSF in Computational Precision Health and EECS as well as a faculty member of Berkeley AI Research (BAIR). I am interested in how we can make machine learning systems for healthcare to be more robust, impactful, and equitable. In particular, I develop computational tools for statistical inference with ML models, noisy data-constrained settings, and addressing algorithmic bias.
I received my PhD from MIT EECS and my joint AB/SM in Applied Math from Harvard University. Previously, I was a postdoctoral researcher at Microsoft Research New England, a data scientist at Dropbox, and an enumerator for the US Census Bureau.
Prospective PhD Students: The CHEN lab is looking for 1-2 PhD students starting Fall 2025. Apply through the Computational Precision Health or EECS (AI-H) admissions portals. Please see my advising statement and lab FAQ for more info.
Machine Learning Approaches for Equitable Healthcare.
Irene Y. Chen.
PhD Thesis, Massachusetts Institute of Technology 2022.
Clustering Interval-Censored Time-Series for Disease Phenotyping.
Irene Y. Chen, Rahul G. Krishnan, David Sontag.
AAAI 2022.
Intimate Partner Violence and Injury Prediction from Radiology Reports.
Irene Y. Chen, Emily Alsentzer, Hyesun Park, Richard Thomas, Babina Gosangi, Rahul Gujrathi, Bharti Khurana.
PSB 2021.
Oral Presentation.
Ethical Machine Learning in Health Care
Irene Y. Chen, Emma Pierson, Sherri Rose, Shalmali Joshi, Kadija Ferryman, Marzyeh Ghassemi.
Annual Reviews for Biomedical Data Science 2021.
Treating health disparities with artificial intelligence
Irene Y. Chen, Shalmali Joshi, Marzyeh Ghassemi
Nature Medicine, January 2020
Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph.
Irene Y. Chen, Monica Agrawal, Steven Horng, David Sontag.
PSB 2020.
Oral Presentation.
Can AI Help Reduce Disparities in General Medical and Mental Health Care?
Irene Y. Chen, Peter Szolovits, Marzyeh Ghassemi.
AMA Journal of Ethics, February 2019.
Why Is My Classifier Discriminatory?
Irene Y. Chen, Fredrik D. Johansson, David Sontag.
NeurIPS 2018.
Spotlight Presentation (top 4% of submitted papers)
Presented at WiML workshop at NeurIPS 2017.