Email: D.R.Westhead@leeds.ac.uk

Research profile and/or and key clinical areas/specialties

Our group research is computational and focused on the use of statistical and artificial intelligence methods to analyse medical and biological data.

The main application area is genomics, where we are interested in using genome scale molecular information, including genome sequence and transcriptomics, to predict prognosis and disease trajectory, and to optimize treatment.

We are interested in personalised or precision medicine, and also related early detection challenges.

Recently we have worked extensively on cancer, particularly blood cancers, but we are interested in all clinical areas with appropriate data.

Two key publications

• Sha C, Barrans S, … et al. …,  Westhead DR. 2019. Molecular high-grade B cell lymphoma: defining a poor risk group requiring different approaches to therapy. Journal of Clinical Oncology. 37(3):202-213.
• Vijayabaskar MS, Goode DK, …et al. …, Westhead DR. 2019. Identification of gene specific cis-regulatory elements during differentiation of mouse embryonic stem cells: An integrative approach using high-throughput datasets. PLoS Computational Biology. 15(11), e1007337

Possible PhD projects

Projects are likely to involve the analysis of large patient data sets obtained from clinical trials and the general population, with aims related to the above research interests.

More information

I have extensive links to national networks, for example the Precision Medicine for Aggressive Lymphoma group, and I have good links with relevant funders including the MRC.

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Keywords: Lymphoma, genome, transcriptomics, blood, cancer, Oncology, David, Westhead, Leeds

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