We are a team of environmental epidemiologists, statisticians and data scientists attempting to push further our understanding of how environmental stressors affects human health.
Our small team brings expertise on data analysis, climate science and epidemiology.
We are a small group of researchers based at the London School of Hygiene & Tropical Medicine. We create and apply cutting-edge statistical methods to understand human health, epidemiology and climate change.
We are experts in linking large and complex datasets, bringing together skills in epidemiology, computing and statistics. We believe in high quality analysis, with rigour and accuracy at the heart of what we do.
Our methods serve the scientific community by providing blueprints for health and climate research, helping decode global health issues such as the implications of air pollution or the dangers of heat from a changing climate.
We create new methodologies and design studies that can be applied in a variety of settings. By offering and advocating state-of-the-art methods and publishing open access whenever possible, we want to contribute to new and innovative solutions for public health.
Our main areas of research include:
- Global Health Modelling
- Statistical Analysis
- Data Science
We lead the Multi-Country Multi-City (MCC) Collaborative Research Network, an international collaboration of research teams producing epidemiological evidence on associations between environmental stressors, climate, and health.
We have created a Case Time Series Design that can be used in different epidemiologic areas for investigating associations between environmental factors, clinical conditions, or medications.
We have developed a novel method that combines artificial intelligence with remote sensing satellite technologies to produce the most detailed coverage of air pollution in Britain to date.
Ammonium is one of the specific components of fine particulate matter (PM2.5), that has been linked to a higher risk of death compared to other chemicals found in it, according to a new study in the journal Epidemiology.
Find out more about the largest global analysis on air pollution.
A novel method that combines artificial intelligence with remote sensing satellite technologies has produced the most detailed coverage of air pollution in Britain to date.
Read more about the ground-breaking technique.