Project: Optimal design of competitive mixture experiments
McVernon Group
In this project, we will investigate models of the viral dynamics, and use these in conjunction with optimal design tools to establish the optimal setup for experiments of this type (with respect to, e.g., proportions of strains, time to introduce the susceptible host, etc.), for strains with different levels of fitness, and for differing experimental aims. This project will be best suited to someone with strong coding skills, and studying a degree in mathematics or statistics e.g. MSc (Mathematics and Statistics) in applied mathematics, stochastic processes or statistics.
Contact project supervisor for further
information and application enquiries
McVernon Group
5 vacancies

Professor Jodie McVernon is a physician with subspecialty qualifications in public health and vaccinology. She has extensive expertise in clinical vaccine trials, epidemiologic studies and mathematical modelling of infectious diseases, gained at the University of Oxford, Health Protection Agency London and the University of Melbourne. Her work focuses on the application of a range of cross-disciplinary methodological approaches, including mathematical and computational models, to synthesise insights from basic biology, epidemiological data and sociological research. These models advance understanding of the observed epidemiology of infectious diseases and inform understanding of optimal interventions for disease control.
McVernon Group Current Projects
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Investigating combined impacts of interventions against scabies and group A Streptococcus using transmission models
PhD/MPhil
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Understanding the impact of new testing for infectious diseases
PhD/MPhil, Master of Biomedical Science
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Optimal design of competitive mixture experiments
PhD/MPhil, Master of Biomedical Science
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Invasive Streptococcus A – piecing together clinical, genomic and public health aspects of the puzzle
PhD/MPhil
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Bias in vaccine effectiveness studies
Master of Biomedical Science