Mathematical Biology and Biostatistics

Mathematical Biology focuses on the application of mathematical and statistical modeling, analysis, and computational simulation to explore a variety of biological processes. Research in AMS includes but is not limited to sleep and circadian rhythms, metabolism, endocrinology, biofluid dynamics and biochemistry of blood coagulation, microorganism motility, in-host viral dynamics, and epidemiology.
Research Faculty
Cecilia Diniz Behn
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Research Group: Math Bio
- Multiple time scales in the interactions between sleep and circadian rhythms
- Glucose-insulin dynamics and quantifying tissue-specific insulin resistance
- Orexin/hypocretin neurons and their role in stabilizing sleep-wake behavior
- Stochastic and deterministic contributions to the fine architecture of sleep-wake behavior
Karin Leiderman
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AMS Director of Graduate Studies
Research Group: Math Bio
- Blood coagulation and platelet aggregation under flow
- Understanding variability in bleeding phenotypes
- Uncertainty quantification in blood coagulation models
- Microorganism motility in viscous fluids
Steve Pankavich
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Research Groups: Math Bio, Hydrology Research Group
- Mathematical and computational Epidemiology
- Modeling and analysis of in-host disease dynamics
- Multiscale modeling and simulation of nanoscale biological structures
- Coarse-grained modeling of biomolecules