Keeley is a PhD student at MIT and has industry experience at Meta, Apple, Google, and several startups. Her research focuses on building machine learning models and statistical approaches for learning on dynamic networks. She was awarded the Ripple Fellowship for her work in privacy and crypto and the Best Paper Award at SBP-BRiMS for her research into detecting influence campaigns. Keeley received her M.Eng. and B.S. in Computer Science and Electrical Engineering from MIT.