Colin Worby

img_4278_1-1Postdoctoral Research Associate

I am a statistical modeler, and am interested in a variety of research questions concerning the epidemiological dynamics of infectious diseases. I am particularly interested in the development of new methods to investigate disease transmission using pathogen genomic data, which can potentially provide a great new insight into many questions of public health importance. The collection of sequence data is becoming increasingly common, and can provide a signal for dynamics at various levels. Firstly, at the within-host level; investigating the pathogen population during disease carriage can shed light on diversification and selection, the impact of antibiotic use, and the size of the founding population, which in turn may be suggestive of the nature of disease acquisition. Secondly, at the individual level – high genetic similarity of pathogen samples between hosts can be indicative of epidemiological relatedness. Identifying transmission links is greatly beneficial for optimizing infection control protocols and highlighting risk factors for onward transmission. Thirdly, at the population level – sequence data can be used to investigate between-community/region transmission, the impact of large-scale vaccination and the introduction of pathogens from non-human reservoirs. My research explores many of these themes using statistical inference, data simulation and results from population genetics.

Juliette Paireau

juliette_smallPostdoctoral Research Associate

My research focuses on the spatio-temporal dynamics of infectious diseases, in particular their complex interactions with climatic factors using various quantitative methods (spatial statistics, Bayesian hierarchical modeling, wavelet analyses). I am particularly interested in analyzing how this knowledge can help to improve control and prevention strategies. During my Ph.D. at Institut Pasteur I worked on the spatial epidemiology of meningococcal meningitis in Niger. The dynamics of bacterial meningitis worldwide is still my main research topic but I am also involved in collaborations on other diseases such as measles and encephalitis.

Max Lau

Postdoctoral Research Associate

I am a statistician who is interested in developing and applying robust statistical methodology in epidemiological and ecological modeling. I have particular interest in the joint inference of epidemiological and genetic data. During my Ph.D. study in Heriot-Watt University (Edinburgh), I have, jointly with Professor Gavin Gibson, developed novel methodology for model assessment and for the integration of epidemiological and sequence data. My current work focuses on the developments and applications of these methodologies.