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Anita T Layton, Robert R. and Katherine B. Penn Associate Professor

Anita T Layton
Contact Info:
Office Location:  213 Physics
Office Phone:  (919) 660-6971
Email Address: send me a message
Web Page:  http://www.math.duke.edu/~alayton

Teaching (Fall 2014):

  • MATH 161FS.01, MATHEMATICAL MODELS IN BIOLOGY Synopsis
    Physics 227, MW 10:05 AM-11:20 AM
  • MATH 790-77.01, CURR RSRCH MATHEMATICAL BIOL Synopsis
    Physics 119, W 11:45 AM-01:00 PM
Education:

PhDUniversity of Toronto2001
MSUniversity of Toronto1996
BSDuke University1994
BADuke University1994
Specialties:

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 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.

Areas of Interest:

Mathematical physiology
Scientific computing
Multiscale numerical methods
Fluid-structure interactions

Curriculum Vitae
Current Ph.D. Students   (Former Students)

  • Hwayeon Ryu  
  • Ioannis Sgouralis  
Postdocs Mentored

  • Brendan Fry (August 01, 2013 - July 31, 2016)  
  • Gregory Herschlag (August 01, 2013 - July 31, 2016)  
  • Rob Moss (October 1, 2012 - present)  
  • Aniel Nieves-Gonzales (January 1, 2011 - July 31, 2012)  
  • Natasha Savage (October 18, 2010 - present)  
  • Karin Leiderman (August 01, 2010 - present)  
  • 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 01, 2007 - August 31, 2008)  
Undergraduate Research Supervised

  • 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 01, 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 01, 2008 - April 01, 2009)
    Thesis: Expanding the scope of quantitative FRAP analysis 
Recent Publications   (More Publications)

  1. Aurelie Edwards and Anita T. Layton, Calcium dynamics underlying the myogenic response of the renal afferent arteriole, Am J Physiol Renal Physiol, vol. 306 no. F34-F48 (2014)
  2. Ioannis Sgouralis and Anita T. Layton, Theoretical assessment of renal autoregulatory mechanisms, Am J Physiol Renal Physiol, vol. 306 (2014), pp. F1357-F1371
  3. Robert Moss and Anita T. Layton, Dominant factors that govern pressure natriuresis in diuresis and antidiuresis: a mathematical model, Am J Physiol Renal Physiol, vol. 306 (2014), pp. F952-F969
  4. Yi Li, Ioannis Sgouralis, and Anita T. Layton, Computing viscous flow in an elastic tube, Numer. Math. Theor. Meth. Appl., in press (Accepted, 2014)
  5. Hwayeon Ryu and Anita T. Layton, Tubular fluid flow and distal NaCl delivery mediated by tubuloglomerular feedback in the rat kidney, J Math Biol, vol. 68 (2014), pp. 1023-1049
Recent Grant Support

  • Collaborative Research: Comparative Study of Desert and Non-desert Rodent Kidneys, National Science Foundation, 2013/09-2017/08.      
  • Modeling Solute Transport and Urine Concentrating Mechanism in the Rat Kidney, National Institutes of Health, 2010/08-2015/07.      
  • EMSW21-RTG: Enhanced Training and Recruitment in Mathematical Biology,, National Science Foundation, 2010/07-2015/07.      
  • EMSW21-RTG: Enhanced Training and Recruitment in Mathematical Biology, National Science Foundation, DMS-0943760, 2010/09-2014/08.      
  • Mathematical Model of Vascular and Tubular Transport in the Rat Outer Medulla, National Institutes of Health, 2009/07-2013/06.      

 

dept@math.duke.edu
ph: 919.660.2800
fax: 919.660.2821

Mathematics Department
Duke University, Box 90320
Durham, NC 27708-0320