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