Ryan Hubbard received his Ph.D. in Psychology from the University of Illinois, Urbana-Champaign, where he also conducted research as a Beckman Institute Postdoctoral Fellow. Ryan’s research interests are primarily focused at the intersection of prediction, language comprehension and memory, and he studies these processes using novel behavioral paradigms and large-scale online experiments, in conjunction with eye-tracking, pupillometry, and electrophysiological recordings and analyses. Additionally, Ryan is interested in how these cognitive and neural processes change with age, as well as how they are influenced by strategies or metacognitive processes. To shed light on the neural mechanisms supporting cognition, he analyzes electroencephalographic (EEG) recordings with a multitude of analytical techniques, including event-related potentials (ERPs), time-frequency analysis, multivariate decoding, and source separation.