Quantitative Bioscience at the University of Tennessee

Network Science

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
	Steve Abel Email	Chemical and Biomolecular Engineering	Computational cell biology and immunology, theory and simulation of soft biological materials, membrane and polymer biophysics, systems biology
	Nina Fefferman Email	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 Email	Ecology & Evolutionary Biology; Mathematics	Theoretical evolutionary biology, social and evolutionary dynamics
	Christopher Strickland Email	Mathematics, Ecology & Evolutionary Biology	Mathematical ecology, addiction epidemiology, data-driven mathematical modeling, computational biomath

NIMBioS
1122 Volunteer Blvd., Suite 106
University of Tennessee
Knoxville, TN 37996-3410
PH: (865) 974-9334
FAX: (865) 974-9461
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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.