This project facilitates data-driven policy making on informal settlements by using machine learning with new sources of data including satellite images.
Samuel Yutong Cai
Samuel is an environmental epidemiologist at the Nuffield Department of Women's & Reproductive Health at the University of Oxford. His research interests include health effects of multiple environmental stressors and their potential modifiers, climate change, exposure assessment and respiratory epidemiology. He is particularly interested in how to harness data science to better inform environmental health policy-making in lower-income countries.
Samuel graduated in preventive medicine from Xiang-ya Medicine School of Central South University in China, with postgraduate training in epidemiology and environmental health at Imperial College London. Prior to joining the NDWRH, he was a MRC-funded research fellow at Imperial's MRC Centre for Environment and Health. He was actively involved in European consortia investigating health impacts of air pollution and traffic noise among several UK and European cohorts. During the fellowship, in collaboration with King's College London he set up a panel study in Beijing which investigated personal exposure to air pollution and COPD exacerbation patterns.
Samuel also collaborates with the Centre for Environmental Health and Sustainability at the University of Leicester to study early-life environmental exposures on childhood health.