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I’m a Ph.D. candidate at MIT CSAIL, advised by Professor David Sontag in the Clinical Machine Learning group. My research focuses on robust machine learning for real-world problems, particularly on topics of healthcare and inequality.

Before my PhD, I completed a joint AB/SM degree at Harvard. I also worked at Dropbox as a data scientist, machine learning engineer, and chief of staff.

You can reach me at iychen [at] mit [dot] edu or on Twitter.


Publications

Conferences

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.

Why Is My Classifier Discriminatory?
Irene Y. Chen, Fredrik D. Johansson, David Sontag.
NeurIPS 2018, Spotlight Presentation (top 4% of submitted papers).
[abstract, pdf, slides, poster]

Sources of Unfairness in Intensive Care Unit Mortality Scores.
Irene Y. Chen, Fredrik D. Johansson, David Sontag.
Women in Machine Learning Workshop at NeurIPS 2017.

Journals

Turning the crank for machine learning: ease, at what expense?
Tom J. Pollard, Irene Y. Chen, Jenna Wiens, Steven Horng, Danny Wong, Marzyeh Ghassemi, Heather Mattie, Emily Lindmeer, Trishan Panch.
Lancet Digital Health, September 2019.
[pdf]

Practical guidance on artificial intelligence for health-care data.
Marzyeh Ghassemi, Tristan Naumann, Peter Schulam, Andrew L. Beam, Irene Y. Chen, Rajesh Ranganath.
Lancet Digital Health, August 2019.
[pdf]

The Disparate Impacts of Medical and Mental Health with AI.
Irene Y. Chen, Peter Szolovits, Marzyeh Ghassemi.
AMA Journal of Ethics, February 2019.
[pdf]

Other

We should treat algorithms like prescription drugs.
Andy Coravos, Irene Chen, Ankit Gordhandas, Ariel Dora Stern.
Quartz, February 14, 2019.
[link]

Teaching

At MIT, I served as a Teaching Assistant in Spring 2019 for Machine Learning for Healthcare. Our class was covered by MIT News.

At Harvard, I was awarded the Derek Bok Center Certificate of Distinction in Teaching for outstanding teaching evaluations. I served on the teaching staff of the following Harvard classes:

Selected Press

MIT News, “Want to know what software-driven health care looks like? This class offers some clues”, Kim Martineau, July 24, 2019.

MIT News, “The Heart of the Matter”, Lillie Paquette, May 10, 2019.

NPR / WGBH, “Fixing Bias In Algorithms Is Possible, And This Scientist Is Doing It”, Heather Goldstone and Elsa Partan, Dec 9, 2018.

Hobbies

In my free time, I enjoy long distance running, reading books, and discussing AI ethics.