Network science focuses on the study of patterns of connection in a wide range of physical and social phenomena. Network researchers analyze multi-relational big data sets and model complicated data structures and interactions. A multidisciplinary field, network science draws upon the work of biologists, computer scientists, mathematicians, physicists and social scientists to study complex systems for their representation in network models.
| Steve Abel ||Chemical and Biomolecular Engineering||Computational cell biology and immunology, theory and simulation of soft biological materials, membrane and polymer biophysics, systems biology|
| Nina Fefferman ||Ecology & Evolutionary Biology; Mathematics; Director, Math Modeling Consulting Center||Self-organizing complex systems, mathematical and computational models of problems in epidemiology, evolutionary and behavioral ecology, conservation biology|
| Sergey Gavrilets ||Ecology & Evolutionary Biology; Mathematics||Theoretical evolutionary biology, social and evolutionary dynamics|
| Christopher Strickland ||Mathematics, Ecology & Evolutionary Biology||Mathematical ecology, addiction epidemiology, data-driven mathematical modeling, computational biomath|