Models for populations of parasites.
Our primary aim is to understand the recently  observed resistance to artemisinin in Western Cambodia. We use a model that incorporates pharmaco-kinetics and pharmaco-dynamics to predict the number of parasites at every hour of age during the asexual blood stage under different dosing regimens. This model can then be used to test hypotheses on the nature of drug resistance.

Models for populations of people.
The simplest of these are in the form of ordinary differential equations where individuals are classified as being in one of a number of independent states with rates at which they change from one state to another.

Models to plan the population level containment of anti-malarial drug resistance.
We are using high dimension systems of ordinary differential equations consider the spread and control of drug resistance in Cambodia. The results of this work are being used to inform policy and to develop individual based spatially explicit models for bespoke intervention strategy design.

Models to understand the sources and spread of antimalarial drug resistance.
We use a data-driven probabilistic and stochastic approach to explore the sources of resistance and the main risk factors for spread.