Carlos Bustamante Orellana is an applied mathematician who blends dynamical-systems theory and machine learning approaches to model infectious diseases and human-automation interactions. After earning his doctorate in Applied Mathematics for the Life and Social Sciences at Arizona State University, he joined the University of Virginia’s Biocomplexity Institute as a Postdoctoral Research Associate where he will develop adaptive epidemic models that account for real-time human responses. Carlos’s long-term aim is to build decision-support tools that integrate epidemiological, behavioral, and economic insights, helping public-health leaders minimize disease burden and societal disruption.