Anita T. Layton

Anita T. Layton
  • Professor in the Department of Mathematics
  • Professor of Biomedical Engineering (Secondary)
  • Professor in Medicine (Secondary)
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

Nganguia, H, Young, Y-N, Layton, AT, Lai, M-C, and Hu, W-F. "Electrohydrodynamics of a viscous drop with inertia." Physical review. E 93.5 (May 23, 2016): 053114-. Full Text

Sgouralis, I, Maroulas, V, and Layton, AT. "Transfer Function Analysis of Dynamic Blood Flow Control in the Rat Kidney." Bulletin of mathematical biology 78.5 (May 12, 2016): 923-960. Full Text

Herschlag, G, Liu, J-G, and Layton, AT. "Fluid extraction across pumping and permeable walls in the viscous limit." Physics of Fluids 28.4 (April 2016): 041902-041902. Full Text

Sgouralis, I, and Layton, AT. "Conduction of feedback-mediated signal in a computational model of coupled nephrons." Mathematical medicine and biology : a journal of the IMA 33.1 (March 2016): 87-106. Full Text

Fry, BC, Edwards, A, and Layton, AT. "Impact of nitric-oxide-mediated vasodilation and oxidative stress on renal medullary oxygenation: a modeling study." American Journal of Physiology. Renal Physiology 310.3 (February 2016): F237-F247. Full Text

Xie, L, Layton, AT, Wang, N, Larson, PEZ, Zhang, JL, Lee, VS, Liu, C, and Johnson, GA. "Dynamic contrast-enhanced quantitative susceptibility mapping with ultrashort echo time MRI for evaluating renal function." American Journal of Physiology. Renal Physiology 310.2 (January 2016): F174-F182. Full Text

Burt, T, Rouse, DC, Lee, K, Wu, H, Layton, AT, Hawk, TC, Weitzel, DH, Chin, BB, Cohen-Wolkowiez, M, Chow, S-C, and Noveck, RJ. "Intraarterial Microdosing: A Novel Drug Development Approach, Proof-of-Concept PET Study in Rats." JOURNAL OF NUCLEAR MEDICINE 56.11 (November 2015): 1793-1799. Full Text

Layton, AT, and Edwards, A. "Predicted effects of nitric oxide and superoxide on the vasoactivity of the afferent arteriole." American Journal of Physiology. Renal Physiology 309.8 (October 2015): F708-F719. Full Text

Nganguia, H, Young, Y-N, Layton, AT, Hu, W-F, and Lai, M-C. "An Immersed Interface Method for Axisymmetric Electrohydrodynamic Simulations in Stokes flow." Communications in Computational Physics 18.02 (August 2015): 429-449. Full Text

Layton, AT, Vallon, V, and Edwards, A. "Modeling oxygen consumption in the proximal tubule: effects of NHE and SGLT2 inhibition." American Journal of Physiology. Renal Physiology 308.12 (June 2015): F1343-F1357. Full Text

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