Anita T. Layton, Research Professor of Mathematics and Professor in Medicine
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 methodsmultiimplicit Picard integral deferred correction methodsfor the integration of partial differential equations arising in physical systems with dynamics that involve two or more processes with widelydiffering 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 operatingsplitting methods) while generating arbitrarily highorder 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. Please note: Anita has left the Mathematics department at Duke University; some info here might not be up to date.  Contact Info:
 Education:
Ph.D.  University of Toronto (Canada)  2001 
M.S.  University of Toronto (Canada)  1996 
B.S.  Duke University  1994 
B.A.  Duke University  1994 
 Specialties:

Mathematical Biology
Applied Math
 Research Interests: Mathematical physiology; Multiscale numerical methods; Numerical methods for immersed boundary problems.
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 methodsmultiimplicit Picard integral deferred correction methodsfor the integration of partial differential equations arising in physical systems with dynamics that involve two or more processes with widelydiffering 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 operatingsplitting methods) while generating arbitrarily highorder 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.
 Areas of Interest:
Mathematical physiology Scientific computing Multiscale numerical methods Fluidstructure interactions
 Keywords:
Absorption • Actin Cytoskeleton • Algorithms • Animals • Aquaporin 1 • Arterioles • Biological Clocks • Biological Transport • Biological Transport, Active • Blood Pressure • Blood Vessels • Body Water • Calcium • Calcium Channels • Calibration • Calmodulin • Capillary Permeability • cdc42 GTPBinding Protein • cdc42 GTPBinding Protein, Saccharomyces cerevisiae • Cell Membrane Permeability • Cell Polarity • Cell Size • Chlorides • Compliance • Computer Simulation • Diet • Diffusion • Electric Stimulation • Endocytosis • Endothelium, Vascular • Energy Metabolism • Enzyme Activation • Exocytosis • Feedback • Feedback, Physiological • Fluorescence Recovery After Photobleaching • Gap Junctions • Glomerular Filtration Rate • Hemodynamics • Homeostasis • Humans • Hyaluronic Acid • Hydrodynamics • HydrogenIon Concentration • Hydrostatic Pressure • Hypertrophy • Immunohistochemistry • Ion Transport • Kidney • Kidney Concentrating Ability • Kidney Diseases • Kidney Glomerulus • Kidney Medulla • Kidney Tubules • Kidney Tubules, Collecting • Kidney Tubules, Proximal • Kinetics • Loop of Henle • Male • Mathematics • Membrane Potentials • Membrane Transport Proteins • Mice • Microvessels • Models, Animal • Models, Biological • Models, Statistical • Models, Theoretical • Muscle Contraction • Muscle Relaxation • Muscle, Smooth, Vascular • MyosinLightChain Kinase • Nephrons • Neural Conduction • Neurons, Afferent • Nonlinear Dynamics • Numerical Analysis, ComputerAssisted • Osmolar Concentration • Oxygen • Oxygen Consumption • Oxyhemoglobins • Periodicity • Permeability • Potassium • Pressure • Protein Binding • Protein Isoforms • Protein Transport • Quail • Rats • Rats, Inbred SHR • Rats, Wistar • Renal Circulation • Saccharomyces cerevisiae • Saccharomyces cerevisiae Proteins • Septins • Signal Transduction • SNARE Proteins • Sodium • Sodium Chloride • SodiumPotassiumExchanging ATPase • Stokes flow • Symporters • Systole • Transport Vesicles • Urea • Urine • Vasodilation • Vasomotor System • Water
 Curriculum Vitae
 Current Ph.D. Students
(Former Students)
 Postdocs Mentored
 Ying Chen (August 15, 2015  present)
 Lei Li (August 01, 2015  present)
 Austin Baird (August 1, 2014  June 30, 2015)
 Brendan Fry (August 1, 2013  July 31, 2015)
 Gregory Herschlag (August 1, 2013  present)
 Rob Moss (October 1, 2012  July 31, 2014)
 Aniel NievesGonzales (January 1, 2011  July 31, 2012)
 Natasha Savage (October 18, 2010  July 31, 2012)
 Karin Leiderman (August 1, 2010  July 31, 2012)
 Jing Chen (March 1, 2009  May 14, 2010)
 Elizabeth L. Bouzarth (August 1, 2008  July 31, 2011)
 Amal El Moghraby (July 1, 2008  May 31, 2009)
 Milagros Loreto (August 1, 2007  August 31, 2008)
 Undergraduate Research Supervised
 Ruijing (Bryan) Liu (May 1, 2015  present)
 Dev Dabke (January 1, 2015  present)
 Justin Summerville (May 01, 2013  June 30, 2013)
 Alex Wertheim (May 13, 2012  June 30, 2012)
 Scott Cara (May 13, 2012  December 31, 2012)
 Kara Karpman (May 13, 2012  December 31, 2012)
 Angela Wood (May 18, 2011  July 01, 2011)
 Angelica Schwartz (May 18, 2011  July 01, 2011)
 Philip Pham (May 1, 2010  April 30, 2011)
 Peichun Wang (May 1, 2010  April 30, 2010)
 Anne Peterson (May 01, 2010  April 30, 2011)
 Yajing Gao (May, 2008  June, 2008)
 Amy Wen (May, 2008  June, 2008)
 Mark A Hallen (May 1, 2008  April 1, 2009)
Thesis: Expanding the scope of quantitative FRAP analysis
 Recent Publications
(More Publications)
 Ahmed, S; Layton, AT, Sexspecific computational models for blood pressure regulation in the rat.,
American Journal of Physiology. Renal Physiology, vol. 318 no. 4
(April, 2020),
pp. F888F900 [doi] [abs]
 Edwards, A; Palm, F; Layton, AT, A model of mitochondrial O2 consumption and ATP generation in rat proximal tubule cells.,
American Journal of Physiology. Renal Physiology, vol. 318 no. 1
(January, 2020),
pp. F248F259 [doi] [abs]
 Hu, R; McDonough, AA; Layton, AT, Functional implications of the sex differences in transporter abundance along the rat nephron: modeling and analysis.,
American Journal of Physiology. Renal Physiology, vol. 317 no. 6
(December, 2019),
pp. F1462F1474 [doi] [abs]
 Layton, AT, Solute and water transport along an inner medullary collecting duct undergoing peristaltic contractions.,
American Journal of Physiology. Renal Physiology, vol. 317 no. 3
(September, 2019),
pp. F735F742 [doi] [abs]
 Layton, AT, Multiscale models of kidney function and diseases,
Current Opinion in Biomedical Engineering, vol. 11
(September, 2019),
pp. 18 [doi] [abs]
 Recent Grant Support
 Bioinformatics and Computational Biology Training Program, National Institutes of Health, 2005/072021/06.
 Unraveling Kidney Physiology, Pathophysiology & Therapeutics: A Modeling Approach, National Institutes of Health, 1R01DK10610201A1, 2016/052020/04.
