I am a Ph.D. candidate at MIT CSAIL, advised by Professor David Sontag in the Clinical Machine Learning group. My research focuses on machine learning and its applications to solving important real-world problems including healthcare and fairness.
Prior to MIT, I worked at Dropbox as Data Scientist, Chief of Staff, and Machine Learning Engineer. I graduated from Harvard with a joint AB/SM in Applied Math and Computational Engineering where I researched with Michael Luca and Ben Edelman.
You can email me at iychen [at] mit [dot] edu or reach me on Twitter.
Current research projects include
The Disparate Impacts of Medical and Mental Health with AI.
Irene Y. Chen, Peter Szolovits, Marzyeh Ghassemi.
AMA Journal of Ethics, February 2019.
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.
For the Spring 2019 semester, I am currently a Teaching Assistant at MIT for Machine Learning for Healthcare.
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: