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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 healthcare and fairness.

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


Papers

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

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.


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:


Hobbies and interests

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