The Centre for Data and Statistical Science for Health acts as a network for staff and students across LSHTM who are undertaking data and statistical science research using a huge range of data sources. DASH is also a hub for fostering external collaborations and  providing training in data and statistical science.

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. The Centre brings together statisticians, data scientists, epidemiologists, health economists, trialists, molecular and cellular biologists, experts in imaging and diagnostics, data curators, anthropologists and social scientists, software engineers, mathematical modellers and policy analysts.

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.

DASH is focused on the development and application of statistical and data methodology to address major health challenges in three areas:

• Developing and evaluating diagnostics and interventions
• Informing health policies that improve population health and reduce inequalities
• Improving environmental and planetary health

These challenges are addressed through research on the following themes: Data research, Statistical methodology, routine data, Molecular and imaging data, and Social science data.

Meet our members

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 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 

   

Routine data

• Laura Cornelsen, Associate Professor in Public Health Economics
• Jessica King, Assistant Professor in Medical Statistics/ Epidemiology
• Julian Matthewman, Research Fellow, Epidemiology

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

• Ananya Malhotra, Research Fellow
• Poppy Mallinson, Research Fellow in Epidemiology

Developing and evaluating diagnostics and interventions

• Sanjay Kinra, Professor of Clinical Epidemiology 

Informing health policies that improve population health and reduce inequalities

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

Improving environmental and planetary health

• Pierre Masselot, Assistant Professor
• Dr Max Eyre, Research Fellow