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
Subtype Disease Progression in Heart Failure with Preserved Ejection Fraction.
Irene Chen, Rajesh Ranganath, David Sontag.
The Disparate Impacts of Medical and Mental Health with AI.
Irene Chen, Peter Szolovits, Marzyeh Ghassemi.
Sources of Unfairness in Intensive Care Unit Mortality Scores.
Irene Chen, Fredrik D. Johansson, David Sontag.
Women in Machine Learning Workshop at NIPS 2017.
At Harvard, I was awarded the Derek Bok Center Certificate of Distinction in Teaching for outstanding teaching evaluations.
I have served on the teaching staff for the following Harvard classes.