Applied mathematics and data science to tackle infectious diseases
My research has a marked interdisciplinary character which, broadly speaking, uses mathematical modeling and data science as core disciplines to address questions relevant to a broad range of fields including infectious diseases, social contagion, phase transitions and dynamical processes in complex networks and disordered systems.
MORE DETAILSMy main research interest is in understanding how humans become ill by infectious diseases and what can be done to reduce the burden of illness. This area is benefiting from the synthesis of molecular biology, statistical/mathematical methods, the social sciences as well as conventional environmental, food and medical microbiology and epidemiological techniques.
MORE DETAILSMy main research interests are in the population genetics of bacterial pathogens of man and have two broad aims: the study of the origins, evolution and diversity of specific bacterial pathogens at the molecular level and improving the control of these pathogens through the application of molecular and epidemiological tools.
MORE DETAILSI am working on mathematical models to understand the composition and structure of Campylobacter jejuni biofilms
I am using statistics and machine learning to study the epidemiology of private drinking water supplies in Scotland.
I am working on evolutionary genetics of pathogens with specific focus on Listeria and SARS-CoV-2.