People

I have a MRC skills development fellowship. I am developing a framework of analysis using Bayesian spatiotemporal models for risk assessment and quantification of associated economic costs. I am using these models to estimate the current and future burden of temperature-related respiratory health in the UK. I am also building shiny apps and softwares to communicate results to stakeholders and public health experts. This is an interdisciplinary project with several national and international collaborations including Prof Baio and Dr Mineli (co-supervisors) and also with Dr Gasparrini, Prof Schuhmacher, Dr Bhatt, Dr Ballester and Dr Vicedo-Cabrera.

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 in statistics for environmental epidemiology. I am currently working on several small area disease mapping projects using Bayesian smoothing and evaluating cluster detection methods with a view to implementation on a retrospective cancer surveillance study using English cancer registry data. I am also developing the Rapid Inquiry Facility software https://github.com/smallAreaHealthStatisticsUnit/rapidInquiryFacility , a tool for exploratory disease mapping and risk analysis.

I am an MRC Early Career Research Fellow. I use advanced Bayesian methods to understand the health effects of neighbourhood-level environmental exposures in vulnerable population such as children.

I am a Research Associate in Statistics and Data Science for Environmental Epidemiology. My current research activities are based on developing and applying machine learning tools and Bayesian models useful for clustering environmental and community level variables to health outcomes, and to understand and account for their distributional characteristics and their spatial-temporal variation. I apply these approaches to the data from various sources to obtain well-defined clusters of small area characteristics across different dimensions. I construct maps of multi-domain vulnerability to health conditions and provide a measure of their uncertainty. I am also working cooperatively with multidisciplinary teams from the UK Small Area Health Statistics Unit (SAHSU) and the Health Data Research UK (HDR UK). 

I am a research assistant in Biostatistics and have recently completed a PhD in statistics at the University of Bath. My general research interest is the development of spatio-temporal Bayesian hierarchical models to assess a range of health outcomes. Currently, I am working on a project to evaluate the impact of government policy on mental ill-health which is supervised by Prof Marta Blangiardo. This is an interdisciplinary project with external supervisors in Prof Gianluca Baio, Prof James Kirkbride, and Dr Sara Geneletti. 

Twitter: @connorgascoigne

I am a second year PhD student funded by the MRC Centre for Environment and Health. My PhD is on spatio-temporal methods for the surveillance of non-communicable disease. Currently I am focusing on modelling the potential mental health effects of exposure to air pollution within cohort studies, with a novel multisource air pollution model for Greater London.

I am a visiting researcher at Imperial College London, funded by the Sao Paulo Research Foundation - FAPESP, and PhD candidate at the University of São Paulo. I am currently working on the spatio-temporal mapping of dengue distribution, Brazil, to investigate the effect of risk factors on disease incidence and mortality: considering climate change, environmental and socioeconomic variables, and predicting these indicators depending on different greenhouse gas emission scenarios.