About

I am a third year PhD student in the joint Machine Learning and Public Policy program at Carnegie Mellon University’s Machine Learning Department and Heinz College. My advisor is Artur Dubrawski and I am part of the Auton Lab.

My research focuses on interpretable machine learning algorithms that can be used for decision support systems and knowledge discovery models. I have recently focused on finding latent, sparse correlation structures present in data, and on the discovery of complex anomalous patterns.

At CMU I am involved in a wide variety of projects, including radiation threat detection, counter human trafficking, and various health care projects.