I apply mathematical and statistical tools to study the transmission dynamics of infectious diseases, with equal interest in basic science and policy-focused analysis.
A major focus of my research is in the interface between health/economic systems and infectious diseases, particularly in the context of human tuberculosis. This includes understanding how health systems shape the control of infectious diseases (with the Public Health Foundation of India), and studying financing mechanisms for the supply of drugs to countries in need (with the Stop TB Partnership).
I am periodically seconded to the US Centers for Disease Control and Prevention, where I apply mathematical modelling to the surveillance and control of seasonal and pandemic influenza, amongst other topics.
More broadly, events in global financial markets since 2007 have heightened interest in applying insights from other systems, including infectious disease epidemiology, to understanding the spread and control of 'contagion' in modern financial systems. With colleagues from the Bank of England and the University of Oxford, I maintain a continuing involvement in this area.
I trained in Applied Mathematics (BA Cambridge 2000, D.Phil Oxford 2005); between these programmes I spent a year as a scientist in a government research lab (Dstl, 2001).
Following my DPhil I trained in mathematical epidemiology as a postdoctoral researcher, first at the University of Oxford and then at Princeton University (USA) before returning to the UK.
et al., 2020, Potential impact of the COVID-19 pandemic on HIV, TB and malaria in low- and middle-income countries: a modelling study, The Lancet Global Health, Vol:8, ISSN:2214-109X, Pages:e1132-e1141
et al., 2020, The potential impact of preventive therapy against tuberculosis in the WHO South-East Asian Region: a modelling approach, Bmc Medicine, Vol:18, ISSN:1741-7015
et al., 2020, Climatological, virological and sociological drivers of current and projected dengue fever outbreak dynamics in Sri Lanka, Journal of the Royal Society Interface, Vol:17, ISSN:1742-5689
et al., 2020, Modelling the potential impact of adherence technologies on tuberculosis in India., Int J Tuberc Lung Dis, Vol:24, Pages:526-533