ChE Faculty Candidate


9:35 am-10:35 am
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NEB 100
Gainesville, Florida 32611


“Systems Biomedicine and Pharmaceutics:
Multiscale Modeling of Tissues, Treatments, & Toxicology”

Ashlee N. Ford Versypt, Ph.D.
Assistant Professor, School of Chemical Engineering, Oklahoma State University

The Systems Biomedicine and Pharmaceutics research lab at Oklahoma State University led by Dr. Ford Versypt
develops and uses multiscale systems engineering approaches including mathematical modeling and
computational simulation to enhance understanding of the mechanisms governing tissue remodeling and
damage as a result of diseases and infections and to simulate the treatment of those conditions to improve
human health. We specialize in modeling the mass transport processes and chemical kinetic interactions related
to physiological conditions, disease onset and progression, and therapeutic interventions. We also develop and
refine computational software elements to support multiscale modeling of such systems. We draw from an
interdisciplinary skillset in chemical engineering, pharmaceutics, physiology, applied mathematics, and
computational science. We have also applied our techniques to non-human biological systems and to
biomaterials. In this seminar, two modeling paradigms frequently employed for the lab’s mechanistic multiscale
modeling will be showcased: (1) stochastic agent-based modeling of discrete biological entities and (2)
deterministic differential equations modeling for biochemical kinetics and mass transport. These methodologies
will be applied to simulate (1) bumblebee behaviors in response to exposure to pesticides and (2) glucosestimulated
damage in kidney cells during diabetes and the effects of preventative pharmaceutical treatments.
The latter area has recently been funded by an NSF CAREER award and exemplifies the integration of teaching,
research, and outreach. We conclude with brief remarks on our ongoing and future work adopting a hybrid
computational approach that combines agent-based modeling and differential equations.


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Chemical Engineering