Quantitative Bioscience at the University of Tennessee

Within-host Dynamics & Immunology

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
	Judy Day Email	Mathematics; Electrical Engineering & Computer Science	Mathematical modeling and control, dynamical systems, model predictive control, acute inflammation/immunology
	Vitaly Ganusov Email	Microbiology; Mathematics	Mathematical modeling of CD8 T cell responses to acute and chronic infections
	Tian Hong Email	Biochemistry and Cellular & Molecular Biology	Computational systems biology
	Suzanne Lenhart Email	Mathematics	Optimal control, population and environmental models, natural resource modeling, disease models
	Andreas Nebenführ Email	Biochemistry & Cellular and Molecular Biology	Cell biology of organelle movement in Arabidopsis
	Olivia Prosper Email	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.