I am a 6th year graduate student at the Robotics Institute advised by Carlos Guestrin. My research interests are in machine learning and probabilistic inference. For the first 2.5 years of the PhD program I was advised by Katia Sycara and worked on algorithms for distributed constraint optimization.

I am interested in principled ways to construct probabilistic models that accurately represent reality and at the same time are feasible for exact inference. More specifically, I am working on learning thin junction trees from data.