Andrew Chu

Ph.D. Student at the University of Chicago

I am a computer science PhD student at the University of Chicago advised by Nick Feamster. My current research interests focus on using machine learning to better represent computer networks to improve network simulation and answer counterfactual performance/traffic inference questions. My previous research includes creating generative models for synthetic packet-level network data and auditing these models for privacy leakage.