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I am an assistant professor at Carnegie Mellon University's Heinz College of Public Policy and Information Systems. I primarily work on machine learning for healthcare and infrastructure development. My current projects are in robust medical image analysis methods and, separately, helping farmers in rural India with electrification, refrigeration, and marketing analytics. A recurring theme across my projects is the use of nonparametric prediction and inference methods that automatically learn structure with few assumptions on what model underlies the data. I am interested in developing these methods and analyzing why they work.

I am looking for PhD students! If you have already been admitted to CMU, feel free to contact me to discuss!

If you are a prospective student, consider applying to one of the Heinz doctoral programs: PhD in Information Systems and Management, or PhD in Public Policy and Management. We also have five different joint PhD programs, for which the one most relevant if you would like to work with me is the PhD in Machine Learning and Public Policy, offered in conjunction with the Machine Learning Department.

I am currently not taking on students or interns outside of CMU.

Before joining Carnegie Mellon, I finished my Ph.D. in Electrical Engineering and Computer Science at MIT, advised by Polina Golland and Devavrat Shah. My thesis developed theory for forecasting viral news, recommending products to people, and finding human organs in medical images. I also worked on satellite image analysis to help bring electricity to rural India, and modeled brain activation patterns evoked by reading sentences. Between grad school and becoming faculty, I helped develop the recommendation engine at a predictive analytics startup Celect and then was a teaching postdoc in MIT's Digital Learning Lab, where I was the primary instructor and course developer for a new edX course on computational probability and inference.

I enjoy teaching and pondering the future of education! I have previously taught at MIT, UC Berkeley, and in Jerusalem at program MEET that brings together Israeli and Palestinian high school students. As a grad student, I served on the Task Force on the Future of MIT Education, and my time as a teaching postdoc was all about better understanding the digital learning space.

Last updated March 3, 2017. Photo credit: Danica Chang.