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., 2019, Assessing tuberculosis control priorities in high-burden settings: a modelling approach, Lancet Global Health, Vol:7, ISSN:2214-109X, Pages:E585-E595
et al., 2019, Building a tuberculosis-free world: The Lancet Commission on tuberculosis, Lancet, Vol:393, ISSN:0140-6736, Pages:1331-1384
et al., 2019, Modelling the impact of effective private provider engagement on tuberculosis control in urban India, Scientific Reports, Vol:9, ISSN:2045-2322
et al., 2019, Constructing care cascades for active tuberculosis: A strategy for program monitoring and identifying gaps in quality of care, Plos Medicine, Vol:16, ISSN:1549-1277