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. My research mainly focuses on decision support systems and knowledge discovery models. Currently, I am working on algorithmic fairness, studying how to measure and prevent bias and discrimination that may arise when learning under selective labels.
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.