My area of expertise is mathematical modelling in the context of health sciences; my aim is to use my computational and mathematical skills to improve quality of life. Broadly speaking, my interests span:
* Modelling the dynamics of infectious disease transmission, in order to understand and account for the real-world constraints that limit the ability to identify extant epidemics, to intervene appropriately, and to reduce endemic burden. The outcomes of this work are to inform health-care policy on the grounds that what is good for the population is good for the country.
* Modelling whole-organ renal function (e.g., water and sodium excretion) as regulated by neurohormonal feedback under physiological and pathological states, and in response to pharmacological interventions. There are many potential applications, from teaching medical students to assisting doctors with diagnoses and delivering personalised health-care. This is of particular interest due to the ever-increasing burden of kidney-related diseases such as essential hypertension and diabetes.
* Methods for ensuring the reproducibility of model simulations and analysis, including facets such as: model verification and validation; technical and tutorial documentation materials; publication of model source code and simulation definitions; and semantic markup of model inputs, outputs and equations.