My research focuses on understanding how dynamical systems communicate information from their past through their present to their future. I draw on tools from machine learning, statistics, dynamical systems, network science, and information theory. The research is both theoretical, deriving relevant measures of communication and methods for their estimation from data, and computational, implementing those methods via efficient algorithms. Previous research projects include predicting user behavior on Twitter, characterizing the time-varying exchange of information in the brain, quantifying the change in market dynamics before and after the introduction of automated trading, and modeling the information dynamics of nanoscale electronics.