The Centre for Data and Statistical Science for Health acts as a network for staff and students across LSHTM who do research in data and statistical science. We aim to develop new approaches by fostering interdisciplinary collaboration and to embed methodological rigour into our work.

We leverage LSHTM’s unique position which combines a global reach, with data science strengths in London and at the MRC units in Uganda and The Gambia, expertise in statistical and data methodology and use of a huge range of data sources to address the major health challenges, in the UK and globally.

We bring together molecular and cellular biologists, experts in imaging and diagnostics, statisticians, epidemiologists, data scientists, health economists, trialists, clinicians, data curators, anthropologists and other social scientists, software engineers, modellers and policy analysts, who share common interests in developing data and statistical science in ways that can improve health worldwide.

Meet our members

The Centre builds on the former Centre for Statistical Methodology (CSM), which was founded in 2012 and achieved international recognition as a centre for excellence in the subject. We’d like to thank the Co-Director of CSM, Richard Grieve, for his role in the development of the new Centre.

Co-Directors

• Nick Furnham, Associate Professor in Computational and Structural Biology of Infectious Disease
• Antonio Gasparrini, Professor of Biostatistics
• Ruth Keogh, Professor of Biostatistics and Epidemiology

Deputy Co-Directors

• Shanquan Chen, Assistant Professor
• Zoe Dyson, Assistant Professor
• Marcella Vigneri, Research Fellow
• Ayoub Kakande

Steering Committee

• Chair: Richard Grieve, Professor of Health Economics Methodology

Theme and challenge leads

Data research

• Chris Grundy, Assistant Professor in Geographical Information Systems
• Edward Parker, Assistant Professor in Vaccine Epidemiology
• Chrissy Roberts, Associate Professor Global Health Analytics

Statistical methodology

• Jonathan Bartlett, Professor in Medical Statistics
• Stephen O'Neill, Associate Professor 
• Pierre Masselot, Assistant Professor

Routine data

• Laura Cornelsen, Associate Professor in Public Health Economics
• Jessica King, Assistant Professor in Medical Statistics/ Epidemiology
• Anna Schultze, Research Fellow Pharmacoepidemiology

Molecular and imaging data

• Segun Fatumo, Associate Professor of Genetic Epidemiology & Bioinformatics
• Ozan Gundogdu, Associate Professor in Molecular Microbiology & Bioinformatics
• Alexandra Lewin, Associate Professor in Biostatistics

Social science data

• Luisa Enria, Assistant Professor
• Shelley Lees, Professor in Anthropology of Public Health

Understanding the major determinants of health

• Kai Jin, Assistant Professor Epidemiology
• Poppy Mallinson, Research Fellow in Epidemiology

Developing and evaluating diagnostics and interventions

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Informing health policies that improve population health and reduce inequities

• Timothy Powell-Jackson, Professor of Health Economics
• Matthew Smith, Research Fellow in Biostatistics

Improving environmental and planetary health

• Antonio Gasparrini, Professor of Biostatistics and Epidemiology