I am a first-year CS Ph.D. student at the University of Vermont advised by Joe Near. I am also a research scientist at OpenMined. My research interests revolve around Data Privacy and all aspects of Machine Learning: theory, algorithms, and applications. Currently, I focus on provable fairness and privacy-preserving machine learning including differential privacy, federated learning, and multiparty computation. In the past, I worked on Computer Vision applications, specifically, deep learning for medical imaging and generative models.