Tom Gaunt is Professor of Health and Biomedical Informatics and MRC Investigator in the MRC Integrative Epidemiology Unit at the University of Bristol. He leads a multidisciplinary team of health data scientists developing novel approaches to investigating disease mechanisms and identifying intervention targets. He co-leads the BRC’s translational data science theme.
Professor Gaunt co-leads the development of key open research data resources and software platforms, including OpenGWAS and EpiGraphDB, used by thousands of researchers worldwide. His team collaborate with pharmaceutical companies to use these tools and resources to identify novel intervention targets and repurposing opportunities. They also develop innovative approaches to data integration and mining using AI, supporting the systematic identification of risk factors and intervention targets for multiple diseases.
Biomarkers for screening and diagnosing lung cancer
Theme Translational data science
Workstream Omics for prediction and prognosis
Data driven approaches to drug target prioritisation
Theme Translational data science
Workstream Genetic evidence to prioritise intervention
Exploring inflammation as a driver for post-operative complications
Theme Translational data science
Workstream Omics for prediction and prognosis