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Posted: Thu Feb 06, 2025 6:02 am
Niloofar is an MRC Early Career Research Fellow at the Centre for Environment and Health, Imperial College London. She uses advanced quantitative techniques to analyse population data in conjunction with a host of environmental and sociodemographic factors, aiming at conducting impactful research that provides valuable insights for equitable policy making. Her current work relates to exploring the role of neighbourhoods in shaping children and young people’s physical and mental health, with a particular focus on the impact of deprivation.
Rhiannon WilliamsRhiannon Williams
Rhiannon is a PhD student researching housing saudi arabia rcs data insecurity at the University of Sheffield as part of the Data Analytics and Society CDT. Her research explores housing insecurity in the UK in relation to changes in welfare policy, with a particular focus on the association between Universal Credit and housing. She uses quantitative data analysis methods, including logistic regression and multilevel modelling.
Tasos is a Research Fellow at the Institute of Public Health and Wellbeing, at the University of Essex. a medical doctor, biomedical engineer and computer scientist, with expertise in biosignal and health-related data analysis. His research is in the area of Health Informatics, i.e. the application of machine learning and artificial intelligence methods to problems in clinical medicine and public health. His particular interests include data analysis from biological signals and digitised health data in clinical settings; explainability and appropriate validation in medical image analysis; AI or tech-oriented public health interventions; and the use and benefits of free and open-source software in medicine.
Rhiannon WilliamsRhiannon Williams
Rhiannon is a PhD student researching housing saudi arabia rcs data insecurity at the University of Sheffield as part of the Data Analytics and Society CDT. Her research explores housing insecurity in the UK in relation to changes in welfare policy, with a particular focus on the association between Universal Credit and housing. She uses quantitative data analysis methods, including logistic regression and multilevel modelling.
Tasos is a Research Fellow at the Institute of Public Health and Wellbeing, at the University of Essex. a medical doctor, biomedical engineer and computer scientist, with expertise in biosignal and health-related data analysis. His research is in the area of Health Informatics, i.e. the application of machine learning and artificial intelligence methods to problems in clinical medicine and public health. His particular interests include data analysis from biological signals and digitised health data in clinical settings; explainability and appropriate validation in medical image analysis; AI or tech-oriented public health interventions; and the use and benefits of free and open-source software in medicine.