Affiliations:

• Director: Modelling and Simulation Hub, Africa, Faculty of Science, University of Cape Town
• Associate Professor, Department of Statistical Sciences, University of Cape Town
• Honorary Visiting Research Fellowship in Tropical Disease Modelling, Oxford University (01/07/2017 ->)
• PhD in Mathematical modelling of Infectious Disease (UCT)
• MSc in Operations Research in Development (UCT)

Research Interests:
My primary area of research is mathematical modelling of infectious diseases. This is the application of mathematical modelling and computer simulation through techniques such as differential equation modelling and agent based simulation to predict the dynamics and control of infectious diseases to evaluate, among other things, the potential impact of control programmes in reducing morbidity and mortality. My research focuses on using mathematics and statistics to model the control and elimination of malaria, COVID-19 and other infectious diseases in South Africa, sub-Saharan Africa and globally.

Education:

• Hons Computer Science
• BSc Pure Mathematics, Applied Mathematics and Computer Science

Research Interests:
Agent based modeling and Simulation, GPU computing, Mathematical modelling

Education:

• MSc International Health & Tropical Medicine (University of Oxford)
• MCom in Development Finance & Social Entrepreneurship (UCT, Graduate School of Business)
• Honours in Economics (UCT)
• BSocSci in Economics and Political Sciences (UCT)

Research Interests:
My research interests are in health economics, policy and health systems, and mathematical modelling of infectious diseases. I am committed to supporting evidence-based policy to maximise health outcomes within resource-constrained settings. I am also interested in making research accessible and applicable to decision-makers through effective communications.

Education:

Research Interests:
My research interests include mathematical modelling of infectious diseases such as COVID-19. I am also interested in the use of optimisation methods in conjunction with disease transmission models to support governmental decision making, and any general decision support.