
About
Dr Jun Wang is a Reader in Genomics and Data Science at Queen Mary University of London, leading the Cancer Research UK Barts Centre Bioinformatics Core Facility. Their work focuses on bioinformatics, cancer genomics, and data analytics, emphasizing the discovery of diagnostic and prognostic biomarkers through computational analysis of large-scale cancer datasets.
Research interests include:
- Development of bioinformatics pipelines (e.g., IBRAP) for genomic data analysis
- Discovery of mutational signatures (e.g., azathioprine-related) in skin cancers
- Integration of transcriptomics and histological data for cancer subtyping
- Application of AI to digital histology for metastasis prediction
Selected trends from publications:
- Advancing single-cell RNA-sequencing methodologies (2023)
- Elucidating genomic landscapes of cutaneous squamous cell carcinoma (2018-2023)
- Developing machine-learning tools for pathway component prediction (2021)
Scientific awards include:
- Turing Fellow, The Alan Turing Institute (2021-)
Major funding includes:
- Cancer Research UK Biomarker Project Award (2025-2028, £290,000)
- Wellcome HARP Clinical PhD Fellowship (2023-2027, £316,000)
- British Skin Foundation collaborative projects (2023-2026, £123,000)
Other activities involve:
- External examiner for MSc Bioinformatics at Teesside University (2021-)
- Collaborator in the UK Keratinocyte Cancer Collaborative (2021-)
- Member of Barts Cancer Centre Patient and Public Involvement Advisory Group (2019-)
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