I am an Assistant Professor at UC Berkeley and UCSF in Computational Precision Health (CPH), Electrical Engineering and Computer Science (EECS), and Berkeley AI Research (BAIR). I am interested in how we can make machine learning systems for healthcare to be more robust, equitable, and impactful. In particular, I develop computational tools for statistical inference with ML models, decision-making settings with heterogeneous data, 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 Students and Visitors: Please see this page for more information and check out my advising statement.
The Data Addition Dilemma.
Judy Hanwen Shen, Inioluwa Deborah Raji, and Irene Y Chen.
MLHC 2024.
NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMs.
Maria Antoniak, Aakanksha Naik, Carla S Alvarado, Lucy Lu Wang, Irene Y Chen.
FAccT 2024.
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.