Prof Antonio Gasparrini
Professor of Biostatistics
London School of Hygiene & Tropical Medicine
15-17 Tavistock Place
I am a biostatistician and epidemiologist with interests in methodology, applied research in various epidemiological and public health topics, and software development
I am the organiser of two modules: Statistical Computing in the MSc in Medical Statistics, and Programming in the MSc in Health Data Science. In addition, I coordinate workshops on the R software for the Talent and Educational Development (LSHTM staff) and Transferrable Skills Programme (LSHTM research degree students). I am responsible for lecture and practical sessions on time series methods within the Environmental Epidemiology module of the MSc in Public Health, the Advanced Regression Methods module of the MSc in Medical Statistics, and the Evaluation of Public Health Interventions within the MSc in Public Health. I am also a Lecture Speaker in the Basic Statistics module of the MSc in Public Health.
Visit my personal web page (http://www.ag-myresearch.com/).
My interests encompass various research areas in epidemiology and public health evaluation, from methodology, applied research, and software implementation. My methodological work focuses on the development of study designs and statistical methods, applied in particular to time series methods, quasi-experimental studies, climate change health impact assessment, environmental spatio-temporal modelling and small-area analysis. I have contributed to the development and extensions of a number of statistical techniques, such as distributed lag models, smoothing methods and meta-analytical models. My substantive research covers several areas, from investigations of the health effects of environmental or occupational factors to the evaluation of public health interventions. I am a strong advocate of open science and reproducible research, and I have contributed with the implementation of statistical methods in freely-available software and with the release of code in public repositories.
My current research focuses on the development of novel study designs for individual and small-area analyses, the use of novel remote sensing and mobile technologies in epidemiology, spatio-temporal modelling of environmental exposures and risks, and health impact projections for climate change.