Mr Pierre Masselot
London School of Hygiene & Tropical Medicine
15-17 Tavistock Place
WC1H 9 SH
I am a statistician and environmental epidemiologist interested in the association between various environmental exposure and human health, as well as methodological and software development.
My research focus on the effect on health of temperature and the role played by climate change in this association, as well as the effect of various air pollutants and atmospheric composition. I also propose new methodological developments for environmental epidemiology such as constrained and Machine Learning methods to estimate health impacts in low-population settings, develop environmental health indices or assess differences in vulnerability between populations.
I also teach R programming and Machine Learning at LSHTM.
I am co-Module organiser and Lecturer of the Machine Learning module (2490) taught in the Health Data Science MSc. I also tutor and teach in the R programming and Introduction to Statistical Computing modules.
My research interests are twofold: i) accurately assessing the association and impact of environmental stressors on human health, and ii) developing appropriate methodologies for doing so.
My research have primilarily focused on estimating temperature-related mortality in various settings, including the Québec province in Canada and cities in Europe. It includes large health impact assessment of non-optimal temperatures, developing climate indicators and thresholds for early warning systems and projections in futures climate. I also works on estimating how various local characteristics affect the vulnerability to temperature. Similarly, I work on estimating how atmospheric composition affects the vulnerability to air pollution in cities.
My main methodological focus is on constrained estimation, with the objective to create health indicators and improve estimations of the association between health and environmental stressors in low power settings.