I have a chair in Biostatistics and I am the Biostatistics and Data Science theme leader for the MRC Centre for Environment and Health.
I have a PhD in applied statistics and work on different modelling aspects relevant to environmental exposures (air pollution, noise, climate) and health (mostly chronic but have recently started moving towards infectious diseases, particularly in low and middle income countries). I have been also working on ecology, specifically on mosquitos estimations and species distribution.
See my College webpage at https://www.imperial.ac.uk/people/m.blangiardo
Twitter: @martablangiardo
I am an assistant professor in Biostatistics and I am an investigator in the MRC Centre for Environment and Health. My research is based upon the development of Bayesian statistical methods with primary application to environmental and health data.
Current methodological research focuses on spatial and spatio-temporal statistics, time-series analysis, methods for the integration of multi-scale sources of data and models for understanding the health consequences of exposure to (multiple) pollutants and changes in climate.
See my College webpage at https://www.imperial.ac.uk/people/monica.pirani
Garyfallos Konstantinoudis is a lecturer at the Grantham Institute - Climate Change and the Environment. He also holds an Imperial Research College Fellowship. Prior to this he was an MRC Skills Development Research Fellow at the MRC Centre for Environment and Health. He did his PhD in Biostatistics and Epidemiology at the Institute of Social and Preventive Medicine (ISPM) at the University of Bern in Switzerland. Garyfallos gained an MSc in Biostatistics at the University of Glasgow and BSc in Mathematics at the Aristotle University of Thessaloniki.
Garyfallos' current domain of research is on estimating the health related burden of climate change focusing on temperatures. Some of his work also include developing methods for calculating excess mortality due to extreme events such as the COVID-19 pandemic or the recent extremely warm summers.
See my College webpage at https://www.imperial.ac.uk/people/g.konstantinoudis
Twitter: @konstantinoudis
personal webpage: gkonstantinoudis.github.io
I am a Research Associate within the Epidemiology and Biostatistics group at Imperial College London. My expertise lies in developing spatio-temporal models to investigate the impacts of environmental and policy-related factors on health and mental health outcomes. My current research focuses on understanding the effects of extreme climate events on mental health. Whilst at Imperial, I have worked on evaluating the impact of the London Clean Air Zone on physical health and have developed novel methodological approaches to assess the effects of government policies (such as benefit and credit reforms) on mental health outcomes. Prior to joining Imperial, I completed my PhD at the University of Bath, where my thesis, titled "Modelling of Spatio-temporal Disease Rates Using Age–Period–Cohort Models."
See my personal page: https://connorgascoigne.github.io/
Twitter: @connorgascoigne
I am currently a Research Associate in Biostatistics, with research interests focused on developing methods for spatially and temporally misaligned data, with applications in epidemiology and public health. These include block aggregation models for point-to-areal data, data fusion methods, uncertainty propagation in multi-stage models, and mixed data sampling models. Currently, I am investigating the link between wastewater virus concentrations and disease prevalence. I also have strong interest in neglected tropical diseases, building on my PhD research, primarily looking at the climate-dengue relationship in the Philippines and Brazil.
I am a final year PhD student funded by the MRC Centre for Environment and Health and the School of Public Health. I’ve created a Bayesian fusion spatiotemporal model to predict air pollution across London and have linked this to a cohort study of adolescents, looking at the links and effects to mental health and wellbeing.
I am a final year PhD student in Epidemiology and Biostatistics. My PhD project is on developing a Bayesian ensemble model for estimating sub-national excess mortality in Italy. I am also examining how covariates contribute to the observed spatio-temporal patterns of excess mortality.
I am a third year PhD student, funded by Imperial College School of Public health. My research is looking into spatio-temporal modelling of norovirus in wastewater, exploring how this can be used to predict outbreaks and inform public health strategies.
I am a second year PhD student funded by the MRC Centre for Environment and Health. My PhD focuses on developing Bayesian methods to capture complex associations between climate change, inequality, and health outcomes. Currently I am working on an application to malaria in Rwanda and utilizing spatiotemporal modelling to forecast malaria incidence under climate and socioeconomic conditions.
I am a second-year PhD student in Epidemiology and Biostatistics, funded by the LISS DTP and the Anne Seagrim Scholarship. My research focuses on the impact of temperature on cardiorespiratory hospitalisations among individuals with diabetes, examining overall effects, vulnerable populations, spatiotemporal patterns, and socioeconomic modifiers.
I am a second year PhD student, and my project looks at the association between climate change and miscarriages. I am part of the SSCP DTP at the Grantham Institute for Climate change and the Environment (Cohort 11).
I am a first year PhD student, funded by the President’s PhD Scholarships. My PhD focuses on modelling the association between temperature and health across different spatial resolutions through the Bayesian spatiotemporal approaches. I also aim to develop models to characterise the urban heat island effect in London, and evaluate its impact on population health outcomes.
I am a first year PhD student (funded by the Grantham Institute - Climate Change and the Environment) working on monitoring health during the climate crisis. I will be primarily focusing on developing scalable Bayesian models to estimate spatiotemporal trends in excess mortality attributable to extreme climate events and human-induced climate change.
I am a visiting researcher at Imperial College London and a PhD student at the University of Milano-Bicocca. My doctoral research is conducted in collaboration with both the University and the Regional Agency of Emergency-Urgency of Sardinia (AREUS). My research focuses on evaluating the quality of services within Sardinia’s Emergency-Urgency System, aiming to improve care delivery for NHS patients by enhancing continuity, timeliness, and effectiveness of emergency interventions through public health analysis of service dynamics.