Anita T. Layton

Anita T. Layton
  • Research Professor of Mathematics
  • Professor of Biomedical Engineering (Secondary)
  • Professor in Medicine (Secondary)
  • Bass Fellow
External address: 213 Physics Bldg, Durham, NC 27708
Internal office address: Box 90320, Durham, NC 27708-0320
Phone: (919) 660-6971

Research Areas and Keywords

Biological Modeling
mathematical biology, mathematical physiology, mathematical modeling, kidney physiology, renal hemodynamics, diabetes, multiscale modeling, fluid-structure interactions, computational fluid dynamics, numerical partial differential equations, feedback control, systems biology
Computational Mathematics
mathematical biology, mathematical physiology, mathematical modeling, kidney physiology, renal hemodynamics, diabetes, multiscale modeling, fluid-structure interactions, computational fluid dynamics, numerical partial differential equations, feedback control, systems biology
PDE & Dynamical Systems
mathematical biology, mathematical physiology, mathematical modeling, kidney physiology, renal hemodynamics, diabetes, multiscale modeling, fluid-structure interactions, computational fluid dynamics, numerical partial differential equations, feedback control, systems biology

Mathematical physiology. My main research interest is the application of mathematics to biological systems, specifically, mathematical modeling of renal physiology. Current projects involve (1) the development of mathematical models of the mammalian kidney and the application of these models to investigate the mechanism by which some mammals (and birds) can produce a urine that has a much higher osmolality than that of blood plasma; (2) the study of the origin of the irregular oscillations exhibited by the tubuloglomerular feedback (TGF) system, which regulates fluid delivery into renal tubules, in hypertensive rats; (3) the investigation of the interactions of the TGF system and the urine concentrating mechanism; (4) the development of a dynamic epithelial transport model of the proximal tubule and the incorporation of that model into a TGF framework.

Multiscale numerical methods. I develop multiscale numerical methods---multi-implicit Picard integral deferred correction methods---for the integration of partial differential equations arising in physical systems with dynamics that involve two or more processes with widely-differing characteristic time scales (e.g., combustion, transport of air pollutants, etc.). These methods avoid the solution of nonlinear coupled equations, and allow processes to decoupled (like in operating-splitting methods) while generating arbitrarily high-order solutions.

Numerical methods for immersed boundary problems. I develop numerical methods to simulate fluid motion driven by forces singularly supported along a boundary immersed in an incompressible fluid.

Education & Training
  • Ph.D., University of Toronto (Canada) 2001

  • M.S., University of Toronto (Canada) 1996

  • B.A., Duke University 1994

  • B.S., Duke University 1994

Edwards, Aurélie, et al. “Effects of NKCC2 isoform regulation on NaCl transport in thick ascending limb and macula densa: a modeling study..” American Journal of Physiology. Renal Physiology, vol. 307, no. 2, July 2014, pp. F137–46. Epmc, doi:10.1152/ajprenal.00158.2014. Full Text

Sgouralis, Ioannis, and Anita T. Layton. “Theoretical assessment of renal autoregulatory mechanisms..” American Journal of Physiology. Renal Physiology, vol. 306, no. 11, June 2014, pp. F1357–71. Epmc, doi:10.1152/ajprenal.00649.2013. Full Text

Moss, Robert, and Anita T. Layton. “Dominant factors that govern pressure natriuresis in diuresis and antidiuresis: a mathematical model..” American Journal of Physiology. Renal Physiology, vol. 306, no. 9, May 2014, pp. F952–69. Epmc, doi:10.1152/ajprenal.00500.2013. Full Text

Ryu, Hwayeon, and Anita T. Layton. “Tubular fluid flow and distal NaCl delivery mediated by tubuloglomerular feedback in the rat kidney..” Journal of Mathematical Biology, vol. 68, no. 4, Mar. 2014, pp. 1023–49. Epmc, doi:10.1007/s00285-013-0667-5. Full Text

Li, Y., et al. “Computing viscous flow in an elastic tube.” Numerical Mathematics, vol. 7, no. 4, Jan. 2014, pp. 555–74. Scopus, doi:10.4208/nmtma.2014.1303si. Full Text

Edwards, Aurélie, and Anita T. Layton. “Calcium dynamics underlying the myogenic response of the renal afferent arteriole..” American Journal of Physiology. Renal Physiology, vol. 306, no. 1, Jan. 2014, pp. F34–48. Epmc, doi:10.1152/ajprenal.00317.2013. Full Text

Layton, Anita T. “Mathematical modeling of urea transport in the kidney..” Sub Cellular Biochemistry, vol. 73, Jan. 2014, pp. 31–43. Epmc, doi:10.1007/978-94-017-9343-8_3. Full Text

Sgouralis, Ioannis, and Anita T. Layton. “Control and modulation of fluid flow in the rat kidney..” Bulletin of Mathematical Biology, vol. 75, no. 12, Dec. 2013, pp. 2551–74. Epmc, doi:10.1007/s11538-013-9907-5. Full Text

Ryu, Hwayeon, and Anita T. Layton. “Effect of tubular inhomogeneities on feedback-mediated dynamics of a model of a thick ascending limb..” Mathematical Medicine and Biology : A Journal of the Ima, vol. 30, no. 3, Sept. 2013, pp. 191–212. Epmc, doi:10.1093/imammb/dqs020. Full Text

Layton, Anita T. “Mathematical modeling of kidney transport..” Wiley Interdisciplinary Reviews. Systems Biology and Medicine, vol. 5, no. 5, Sept. 2013, pp. 557–73. Epmc, doi:10.1002/wsbm.1232. Full Text

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