Dr. Rayo’s research focuses on using computational and representational data transformations to design cognitive tools meant to improve overall system resilience over the widest possible range of expected and unexpected conditions. The goal of Dr. Rayo’s lab is to deepen our understanding of multi-agent teamwork and to translate these findings into technology attributes that improve human-machine teamwork. His work is focused on the design of threshold alarms, decision-support technologies, and human-machine teams in healthcare, military, transportation, and power generation settings.