Lisa White,
Head of Mathematical Modelling

I am interested in methods of applying theoretical frameworks to extant data to explain observed biological phenomena. My approach is multidisciplinary including collaboration with biologists, mathematicians, physicians, statisticians and veterinarians. Model frameworks that I use include ordinary and partial nonlinear differential equations, difference equations and stochastic time series models. I apply my models to data from single individuals and populations of individuals in the context of infectious disease transmission and control in human and veterinary populations. My current research focus is the use of mathematical modelling to assist in the eradication and elimination of malaria.


Wirichada Pongtavornpinyo,
Mathematical and statistical modeler & clinical data manager.

I focus on modelling of malaria transmission and drug resistance at population level. For drug resistance, I model two-step processes including initial emergence (de novo) and spread. Host and vector factors such as immunity, treatment and entomological parameters are incorporated into the models. Valuable data from many epidemiological studies in different levels of malaria endemicity and in areas with the highest prevalence of drug resistance (including the border regions of Thailand) are gathered. These dynamic data-driven models are used as a powerful predictive tool for exploring the impact of different malaria control strategies, focusing on Artemisinin Combination Therapies (ACTs) in particular.


Richard J. Maude,
Research Physician

My research interests are in two areas: mathematical modelling of malaria elimination and eradication in the context of antimalarial drug resistance; and clinical studies of the pathophysiology of severe malaria, in particular microcirculatory obstruction and malarial retinopathy in cerebral malaria.


Sompob Saralamba,
Mathematical Modeller

I am interested in computational modelling and simulation of biological systems. I am working on the intra-host modelling of malaria infection and the molecular dynamics simulation of dihydrofolate reductase - thymidylate synthase (DHFR-TS) and their potential inhibitors.