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John Gulliver is Professor of Environmental and Exposure Sciences in the Population Health Research Institute. John's research focuses on human exposures to environmental pollutants. He is recognised internationally for his expertise in noise and air pollution modelling. John has specific knowledge and skills in geospatial modelling, geographical information science, exposure assessment, and burden of disease assessment. He has substantial experience in leading national- and international-scale research projects.
John Gulliver is Professor of Environmental and Exposure Sciences in the Population Health Research Institute.
John was awarded his PhD in Environmental Science from University of Leicester in 2002. He was a postdoctoral researcher at Imperial College London, Lecturer in Environment and Human Health at the University of the West of Scotland, returning to Imperial College in 2010 as Lecturer and the Senior Lecturer in Environmental Sciences.
He joined University of Leicester in 2018 as Professor of Environmental and Exposure Sciences. As Deputy Director he jointly established the Centre for Environmental Health and Sustainability and the NIHR Health Protection Unit in Environmental Exposures and Health.
John joined St George's, University of London in 2023 and is Section Head for Social and Environmental Epidemiology. John continues to develop his research activities focussing on human exposures to air pollution and noise. He led the first adaptation of the CNOSSOS-EU methodology for road traffic noise modelling, which has been applied internationally for studies relating to dementia, birth outcomes, cardiovascular disease, stroke, blood pressure, and mortality. He is a member of the British Standards Committee on the Calculation of Transport Noise.
John is work package leader ('external exposure') in the H2020 Equal-Life project (part of the European Human Exposome Network). Equal-Life is a consortium of 20 European partners (part of the European Exposome Network) funded through Horizon 2020 to develop a toolbox that will help evaluate the effects of physical and social environmental exposures on children from preconception to adolescence. He is leading a work package to construct an enriched description of the external exposome by developing detailed data and new, open-source models for the built- and natural- environments, air pollution, and noise. A combination of health and social data from birth-cohorts, longitudinal school data sets and cross-sectional studies (N=>250.000) birth-cohort data with new sources of environmental data, will provide insight into key influences on mental health in early life and highlight potential interventions.
He currently leads a team on 'environmental modelling and exposure assessment' as part of the MRC-funded Longitudinal Linkage Collaboration (LLC), harmonising and linking data across over 20 UK cohorts. Environmental datasets being developed include air quality, noise and open/green spaces Detailed exposure maps are being generated at fine spatial scale, on an annual basis back to the 1990s, and assigned to cohort address locations.
Recently completed project as principal investigator include a Knowledge Transfer Partnership (KTP) withe Earthsense to develop national-scale air pollution maps, and developing a geospatial decision support toolkit for calculating the burden of disease to environmental noise for the UK Health Security Agency.
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