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Quantitative Bioscience at the University of Tennessee

Within-host Dynamics & Immunology

Immunology image.

Theoretical immunology uses mathematical models to understand the evolution and diversification of immune systems across all organisms. System-wide models account for the complexity inherit in a broad expanse of immune functions and the accompanying multifactorial causation of these activities. Measurements have greatly expanded the potential factors to be analyzed and have increased the complexity of the mathematical models required for determining how immune processes operate and relate to various physiological conditions.

Researcher Department Research Interests
J. Day photo. Judy Day
Mathematics; Electrical Engineering & Computer Science Mathematical modeling and control, dynamical systems, model predictive control, acute inflammation/immunology
 photo. Vitaly Ganusov
Microbiology; Mathematics Mathematical modeling of CD8 T cell responses to acute and chronic infections
T. Hong. Tian Hong
Biochemistry and Cellular & Molecular Biology Computational systems biology
S. Lenhart. Suzanne Lenhart
Mathematics Optimal control, population and environmental models, natural resource modeling, disease models
 photo. Andreas Nebenf├╝hr
Biochemistry & Cellular and Molecular Biology Cell biology of organelle movement in Arabidopsis
O. Prosper photo. Olivia Prosper
Mathematics Mathematical biology, modeling disease dynamics, population dynamics, optimal control

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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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