About

I am a fourth 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.

I am passionate about developing novel machine learning algorithms that are motivated by existing policy problems, and understanding how machine learning can better help us overcome important societal challenges. As part of my research, I have worked on transparent machine learning algorithms that can be used for decision support systems and knowledge discovery models. Recently, I have grown increasingly interested in studying how to measure and prevent bias and discrimination in machine learning.

At CMU I have had the opportunity to work on counter-human trafficking and sexual violence projects, as well as various projects in the healthcare domain.

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