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鈥檚 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.
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
Challenge leads
- 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, Assistant Professor