I am a computer science PhD student at the University of Chicago advised by Nick Feamster. My research focuses on exploring machine learning for problems in computer networking, specifically in regard to the diversity and availability of network data. Recent directions I'm working on include generation of realistic, high-quality network traffic data using deep learning based methods.