David Wedge

David Wedge is a Professor of Cancer Genomics and Data Science at the University of Manchester, affiliated with the Manchester Cancer Research Centre and the Christabel Pankhurst Institute. He leads the Wedge Group, focusing on cancer evolution, heterogeneity, and the development of computational tools for subclonal analysis.

• Research Themes: Tumour evolution, genomic instability, exposome analysis, and tumor microenvironment.
• Software Tools: Battenberg (copy number analysis), DPClust (subclonal reconstruction), Octopus (variant calling).

Research Trends: His work spans cancer evolution across multiple tumor types using whole-genome sequencing, with a strong emphasis on precision medicine, ethnic diversity in cancer incidence, and data science applications. Key article trends show expertise in mutational signatures, spatial genomics, and exposome-driven carcinogenesis.

Scientific Awards: Recognized as a Highly Cited Researcher 2024, reflecting significant impact in cancer genomics and computational biology.

Collaborative Projects: Active in NIHR Manchester Biomedical Research Centre, CRUK RadNet Manchester, and 100,000 Genomes Project. His team includes postdoctoral researchers and PhD students analyzing oesophageal cancer in Kenya, prostate cancer in South Africa, and breast cancer in Nigeria, Malaysia, and Hong Kong.