My research integrates mathematical biology, network science, and epidemiology to uncover the organizing principles of living and social systems. I use Boolean networks to model gene regulation and identify how canalization, bias, and modularity contribute to stability and evolvability. In parallel, I develop infectious-disease models that incorporate realistic social mixing and behavioral feedback to understand how individual differences and homophily, shape epidemic spread and control strategies.