At LSHTM, I lead the Environment & Health Modelling (EHM) Lab, a research team with complementary expertise in biostatistics, epidemiology, data science, and climatology. I am the Co-Director of the Centre For Data and Statistical Science for Health, a centre that brings together LSHTM's established expertise in statistical methodology with novel research opportunities in health data science.

My interests encompass various research areas in epidemiology and public health evaluation, primarily focusing on methodology, applied research, and software implementation. My work focuses on the development of study designs, statistical methods and health data science resources. I have contributed to the development and extensions of several statistical techniques, such as distributed lag models, smoothing methods, and meta-analytical models. I have applied these methodologies in various settings, in particular to time series methods, quasi-experimental studies, climate change health impact assessment, environmental spatio-temporal modelling, and small-area analysis. I am a strong advocate of open science and reproducible research, and I have contributed to the implementation of statistical methods in freely available software and with the release of code in public repositories.

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