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Quantitative Bioscience at the University of Tennessee

Network Science

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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.

Researcher Department Research Interests
S. Abel photo. Steve Abel
Chemical and Biomolecular Engineering Computational cell biology and immunology, theory and simulation of soft biological materials, membrane and polymer biophysics, systems biology
N. Fefferman. 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
S. Gavrilets. Sergey Gavrilets
Ecology & Evolutionary Biology; Mathematics Theoretical evolutionary biology, social and evolutionary dynamics
C. Strickland. Christopher Strickland
Mathematics, Ecology & Evolutionary Biology Mathematical ecology, addiction epidemiology, data-driven mathematical modeling, computational biomath

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From 2008 until early 2021, NIMBioS was supported by the National Science Foundation through NSF Award #DBI-1300426, with additional support from The University of Tennessee, Knoxville. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
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