Brief Biography
Karen Yokley received her Ph.D. in applied mathematics with a concentration in computational mathematics from North Carolina State University in 2005. Immediately following the completion of her Ph.D., Dr. Yokley worked as a post-doctoral fellow in collaboration with the U.S. Environmental Protection Agency until she joined the Elon University faculty in 2008. Her primary research focus is modeling biological systems with ordinary differential equations, but she also is very interested in connections between art and mathematics. She has published her research in multiple journals, including Bulletin of Mathematical Biology and Risk Analysis. Dr. Yokley’s husband, Dr. Nicholas Luke, is also an applied mathematician, and they have one son (who may or may not follow in his parents’ mathematical footsteps).
Education
BS in Mathematics with a minor in Biology, University of Tennessee, May 1999
MS in Applied Mathematics, NCSU, May 2002
PhD in Applied Mathematics with a concentration in Computational Mathematics, NCSU, August 2005
Leadership Positions
Applied Mathematics Coordinator (2008-present)
Admissions Committee Chair (2011-2012)
Publications
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A. Bienz*, K.A. Yokley, and C. Arangala (accepted). Magic Polygrams. Involve, a Journal of Mathematics.
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K.A. Yokley (2013). Investigations on ventilation equation structure in physiologically based pharmacokinetic (PBPK) modeling of inhaled toxicants. International Journal of Pure and Applied Mathematics, Vol. 82, No. 1, p.95-123.
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K.A. Yokley (2012). Sensory Irritation Response in Rats II: Recovery and Dose-Dependence. Bulletin of Mathematical Biology, Vol. 74, No. 7, p.1673-1690 (DOI: 10.1007/s11538-012-9730-4).
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B. Draper*, D. Marcin*, A. Margolskee*, R. Murden*, A. Attarian, M.V. Evans, and K.A. Yokley (2009). Feasibility of Metabolic Parameter Estimation in Pharmacokinetic Models of Carbon Tetrachloride Exposure in Rats. Toxicological and Environmental Chemistry, Vol. 91, No. 3, p.521-546.
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K.A. Yokley and M.V. Evans (2008). Physiological changes associated with aging result in lower internal doses of toluene and perchloroethylene in simulations using pharmacokinetic modeling. Toxicological and Environmental Chemistry, Vol. 90, No. 3, p.475-482 (DOI 10.1080/02772240701594305).
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K.A. Yokley, H. Tran, and P.M. Schlosser (2008). Sensory Irritation Response in Rats: Modeling, Analysis, and Validation. Bulletin of Mathematical Biology, Vol. 70, No. 2, p.555-588 (DOI 10.1007/s11538-007-9268-z).
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K.A. Yokley and M.V. Evans (2007). An Example of Model Structure Differences Using Sensitivity Analyses in Physiologically Based Pharmacokinetic Models of Trichloroethylene in Humans. Bulletin of Mathematical Biology, Vol. 69, No. 8, p.2591-2625 (DOI 10.1007/s11538-007-9233-x).
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K. Yokley, H.T. Tran, K. Pekari, S. Rappaport, V. Riihimaki, N. Rothman, S. Waidyanatha, and P.M. Schlosser (2006). Physiologically Based Pharmacokinetic (PBPK) modeling of benzene in humans: a Bayesian approach. Risk Analysis, Vol. 6, No. 4, p.925-943.
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J. Enders, S. Kas-Danouche, W. Liao, B. Rasmussen, T. Anh Vo, K. Yokley, L. Robertson, and R.C. Smith (2003). Design of a Membrane Deployable Structure. Proceedings of the 44th AIAA/ASME/ASCE/AHS Structures, Structural Dynamics, and Materials Conference, Norfolk, VA, AIAA-2003-1494. (Also see CRSC Technical Report, CRSC-TR03-06 http://www.ncsu.edu/crsc/reports/ftp/pdf/crsc-tr03-06.pdf .)
* indicates undergraduate during course of research