Irene Chen
Assistant Professor at University of California, Berkeley
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolIrene Chen is an Assistant Professor at UC Berkeley and UCSF focused on computational precision health and equitable machine learning, combining a PhD from MIT CSAIL with industry experience at Microsoft Research and Dropbox. Over a decade-long career she has bridged applied data science, fairness in AI, and clinical ML research, moving from production-facing roles to academic leadership. Her work emphasizes translating rigorous ML methods into healthcare settings that prioritize equity and real-world impact. She has a rare blend of teaching, industry product experience, and research—having taught algorithms and applied math, run data science at Dropbox, and conducted FAT* research at Microsoft. Based in Cambridge, MA, she is open to collaborations and external opportunities and maintains a public-facing research portfolio at irenechen.net.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Massachusetts Institute of TechnologyA.B./S.M., Applied Mathematics - Computational Engineering, A.B./S.M., Applied Mathematics - Computational Engineering at Harvard University
Chinese, French
Github Skills (9)
health10
machine-learning9
medicine9
data-model5
python5
incremental-learning4
medical3
mental-health3
deep-learning2
Programming languages (5)
Github contributions (5)
ml4health/ml4health.github.io
Aug 2018 - May 2021
Website for ML4H Symposium
Contributions:211 commits, 7 PRs, 185 pushes in 2 years 9 months
healthmachine-learning
mlhcmit/recitations
Feb 2019 - Apr 2019
Contributions:19 commits, 15 pushes, 1 branch in 2 months
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