Anita T. Layton is an applied mathematician who applies methods from computational mathematics and partial differential equations to model kidney function. She is the Robert R. & Katherine B. Penn Professor of Mathematics at Duke University, where she also holds appointments in the department of biomedical engineering and the department of medicine.
Layton was born in Hong Kong, where her father was a secondary school mathematics teacher. She did her undergraduate studies at Duke, entering with the plan of studying physics but eventually switching to computer science and graduating in 1994. She went to the University of Toronto for her graduate studies, and completed a Ph.D. there in 2001. Her dissertation, High-Order Spatial Discretization Methods for the Shallow Water Equations, concerned numerical weather prediction, and was jointly supervised by Kenneth R. Jackson and Christina C. Christara.
Layton's main research interest is the application of mathematics to biological systems. She works with physiologists and clinicians to formulate detailed computational models of kidney function, which she uses to understand the impacts of diabetes and hypertension on kidney function, and the effectiveness of novel therapeutic treatments. With Aurélie Edwards, Layton is the author of Mathematical Modeling in Renal Physiology (Springer, Lecture Notes on Mathematical Modelling in the Life Sciences, 2014).
- Anita T. Layton, Duke University Department of Mathematics, retrieved 2018-02-18
- How Can Math Be Used to Keep us Healthy and Safe?, Duke University Department of Mathematics, retrieved 2018-02-18
- Anita Layton at the Mathematics Genealogy Project
- Canada 150 Research Chairs, Government of Canada
- Poaching Talent From U.S., Inside Higher Ed
- Canada 150 Research Chair joins Department of Applied Mathematics, University of Waterloo