I’m a Ph.D. candidate at MIT CSAIL, advised by 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.
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.
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.
Trends and Focus of Machine Learning Applications for Health Research
Brett Beaulieu-Jones, Samuel G. Finlayson, Corey Chivers, Irene Y. Chen, Matthew McDermott, Jaz Kandola, Adrian V. Dalca, Andrew Beam, Madalina Fiterau, Tristan Naumann
JAMA Network Open, October 2019.
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.
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.
Can AI Help Reduce Disparities in General Medical and Mental Health Care?
Irene Y. Chen, Peter Szolovits, Marzyeh Ghassemi.
AMA Journal of Ethics, February 2019.
We should treat algorithms like prescription drugs.
Andy Coravos, Irene Chen, Ankit Gordhandas, Ariel Dora Stern.
Quartz, February 14, 2019.
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:
- Algorithms and Data Structures, Jelani Nelson
- Microeconomic Theory, Ed Glaeser
- Multivariable Calculus, Evelyn Hu and Avi Shapiro
- Differential Equations, Margo Levine and Avi Shapiro
- Linear Algebra and Real Analysis I, Paul Bamberg
- Linear Algebra and Real Analysis II, Paul Bamberg
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.