I’m a Visiting Researcher with Google's Verily and a post-doc with Dr. Peter Szolovits in MEDG (CV); in Fall 2018 I will be joining the University of Toronto as an Assistant Professor in Computer Science and Medicine, affiliated with the Vector Institute. I have worked with Dr. John Guttag at CSAIL, and have clinical collaborations at Beth Israel Deaconess Medical Center and Massachusetts General Hospital.

I've organized the NIPS 2014 Women in Machine Learning Workshop, the NIPS 2016 Workshop on Machine Learning for Health, the 2017 Workshop on Machine Learning for Health and MIT's first Hacking Discrimination event.

This year I am a Guest Editor on the 2018 PLoS ONE call on Machine Learning in Health and Biomedicine, speaker at The Digital Doctor: Health Care in an Age of AI and Big Data IACS SYMPOSIUM, a panelist at AMIA 2018 Informatics Summit Panel on Deep Learning for Healthcare - Hype or the Real Thing?

I’m interested in creating and applying machine learning algorithms towards improved prediction and stratification of relevant human risks; you can find my thesis defense talk here.

My research focuses on: