NIMBioS Affiliates

If you'd like to be included on the NIMBioS affiliate list, please contact us

University of Tennessee Affiliates

School of Natural Resources: Forestry, Wildlife & Fisheries + Microbiology        

Infectious diseases, immunology, epidemiology, mathematical modeling, on-site diagnosis


Numerical analysis and scientific computing with a focus on numerical methods for (nonlinear) partial differential equations which arise from biology, engineering and physics


Evolutionary ecology, plant-insect interactions



School of Natural Resources: Forestry, Wildlife & Fisheries      

Disease Ecology, Epidemiology, Wetland Ecology

Entomology and Plant Pathology             

Crop and Pasture Production, Microbiology, Plant Biology, Zoology, Ecological Applications, Horticultural Production, Electrical and Electronic Engineering, Mechanical Engineering, Agricultural Biotechnology, Medical Microbiology


Complex biological processes, including development, disease progression and immune response

EEB. ORNL Environmental Science Div.      

Theoretical Ecology, Conservation Biology


Big data analytics, graph theory, life science applications


Phylogenetics, macroevolution

Comparative Medicine  

GIS and spatial epidemiology in veterinary and public health


Infectious disease, modeling, population-dynamics


Biogeography, physiological ecology, tropical ecology

BCMB; UT/ORNL Center for Molecular Biophysics    

Biological, environmental, physical, computational and neutron sciences; high-performance simulations


Math modeling, complex systems, population ecology, computational/data-driven math


Microbial ecology, oceanography, biogeochemistry


Regulation of protein synthesis (mRNA translation)


External Affiliates

  • Lydia Bourouiba:

MIT, Biofluidics Engineer

  • K. Selcuk Candan:

ASU, Computer Scientist

  • Sadie Ryan:        

UFL, Medical Geographer

  • Yana Bromberg:         

Emory, Bio-informaticist    

  • Gerardo Chowell:

GSU, Epidemiologist      

  • David Finnoff:

University of Wyoming, Economist            

  • Huan Liu:

ASU, Computer Science Engineer

  • Eric Lofgren:         

WSU, Epidemiological Modeler    

  • James Moody:           

Duke, Sociologist

  • Dana Pasquale:

Duke, Population Health Scientist

  • Michael Reed:

Tufts, Conservation Biologist 

  • Heather Szabo-Rogers:

University of Saskatchewan, Developmental Biologist

Quantitative Bioscience at the University of Tennessee

A world-leader in quantitative bioscience disciplines, the University of Tennessee, Knoxville, offers multiple routes to success for graduate education in quantitative connections to the life sciences. UT has a long history as one of the world's largest collections of faculty in quantitative bioscience, located in a variety of departments and research labs across campus. 

As the land-grant institution for Tennessee, there are numerous connections to agricultural and veterinary sciences available. Students also benefit from close contacts between UT and the Oak Ridge National Laboratory. Convergence research across mathematics, statistics, computational and data science is building new frameworks and novel ways for problem solving in the life sciences. Over the past decade, NIMBioS has fostered these efforts to develop cutting-edge, cross-disciplinary collaborative connections that address the vast array of challenging questions at the interface of the quantitative and life sciences.

If you'd like to learn more or get involved, please contact us. 


Our mission is to foster the growth of transdisciplinary approaches within mathematics and biology


1122 Volunteer Blvd, Claxton 114
University of Tennessee
Knoxville, TN 37996-3410

Nina Fefferman, Director


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 options, 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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