C. Brandon Ogbunu is an Associate Professor with Tenure in the Department of Ecology and Evolutionary Biology at Yale University, and also holds a position as Professor at the Santa Fe Institute. His academic journey began at Yale University, where he earned his PhD in 2010. Ogbunu leads the Ogbunu Lab, a highly interactive research program that bridges multiple scientific domains. Dr. Ogbunu's research focuses on complex problems at the intersection of epidemiology, evolutionary and population genetics, and evolutionary theory. His work employs diverse methodologies including experimental evolution, biochemistry, applied mathematics, and evolutionary computation. His research interests span evolutionary medicine, complex systems, and public health modeling, with particular emphasis on understanding how pathogens evolve and spread through populations. His computational biology approach has yielded insights into viral evolution, antimicrobial resistance, and host-pathogen interactions. Analysis of his recent publications reveals a strong focus on interdisciplinary approaches to understanding disease dynamics, with significant contributions to the fields of evolutionary epidemiology, fitness landscape theory, and the molecular basis of adaptation. His work frequently examines how environmental factors shape evolutionary trajectories, particularly in the context of infectious disease. Dr. Ogbunu actively collaborates with researchers across disciplines, including Paul Turner, Daniel Weinberger, David Ferguson, Emily Wang, Nathan Grubaugh, and Virginia Pitzer, reflecting the interdisciplinary nature of his research program. His work has important implications for public health interventions, drug development, and understanding the evolutionary dynamics of pathogens. The Ogbunu Lab, located at 331 Yale Science Building (260 Whitney Ave, New Haven, CT 06511), serves as a hub for intellectual exchange between evolutionary biology, epidemiology, and public health. The lab fosters connections across multiple fields, creating an environment where theoretical evolutionary concepts meet practical public health applications.








