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Quantitative Bioscience at the University of Tennessee

Mathematical Medicine & Control

Math image.

Mathematical medicine uses innovative mathematical, statistical and computational techniques to enable, inform and improve basic and clinical biomedical research. Topics can include gene therapy, cell kinetics, pharmacokinetics, chemotherapy, oncology, developmental biology, wound healing, physiology, heart modelling, cardiovascular and lung dynamics, neurobiology, computational neuroscience, biomechanics, biomedical statistics, image analysis, epidemiology, immunology, time series analysis, extracellular matrix properties and signalling, and tissue engineering.

Researcher Department Research Interests
J. Day photo. Judy Day
Email
Mathematics; Electrical Engineering & Computer Science Mathematical modeling and control, dynamical systems, model predictive control, acute inflammation/immunology
S. Eda photo. Shigetoshi Eda
Email
Forestry, Wildlife and Fisheries; Associate Director, Center for Wildlife Health Mathematical modeling of Johne's disease epidemiology and immunology, development of an onsite diagnostic system for diseases and physiological conditions
 photo. Vitaly Ganusov
Email
Microbiology; Mathematics Mathematical modeling of CD8 T cell responses to acute and chronic infections
S. Lenhart. Suzanne Lenhart
Email
Mathematics Optimal control, population and environmental models, natural resource modeling, disease models
O. Prosper photo. Olivia Prosper
Email
Mathematics Mathematical biology, modeling disease dynamics, population dynamics, optimal control
X. Zhao. Xiaopeng Zhao
Email
Mechanical, Aerospace, and Biomedical Engineering Biommedical signal processing, medical informatics, dynamics and control, computational biology



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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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