David Wedge

David Wedge

Professor of Cancer Genomics and Data Science

University of Manchester

The focus of my research is cancer evolution and heterogeneity. Cancers are made up of a heterogeneous mix of cells, each bearing a different set of mutations in its DNA. We aim to characterise groups of cells, or ‘subclones’, according to their mutational profiles and to study the interaction between subclones.

Tumours are difficult to treat because they change over time, gaining mutations that enable them to metastasise to distant organs or that result in resistance to treatment. By comparing multiple samples, we can identify those mutations that cause relapse and progression. Using genetic markers, we can also track the spread of disease, giving us insights into the mechanisms and processes involved in cancer growth and metastasis.

Interests

  • Cancer Genomics
  • Tumour Evolution
  • Bioinformatics
  • Data Science
  • Machine Learning

Education

  • PhD in Computing and Mathematics, 2005

    Manchester Metropolitan University

  • MSc in Software Development, 2001

    Huddersfield University

  • PGCE, 1993

    Bretton Hall College

  • BA in Chemistry, 1989

    University of Oxford

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