Quantitative Bioscience at the University of Tennessee

Mathematical Medicine & Control

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.

	Department	Research Interests
Judy Day Email	Mathematics; Electrical Engineering & Computer Science	Mathematical modeling and control, dynamical systems, model predictive control, acute inflammation/immunology
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
Vitaly Ganusov Email	Microbiology; Mathematics	Mathematical modeling of CD8 T cell responses to acute and chronic infections
Suzanne Lenhart Email	Mathematics	Optimal control, population and environmental models, natural resource modeling, disease models
Olivia Prosper Email	Mathematics	Mathematical biology, modeling disease dynamics, population dynamics, optimal control
Xiaopeng Zhao Email	Mechanical, Aerospace, and Biomedical Engineering	Biommedical signal processing, medical informatics, dynamics and control, computational biology

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.