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Adam Cribbs

BSc (Hons), PhD

MRC Training Fellow in Computational Biology

During my PhD studies I investigated the molecular mechanisms underpinning defective function of regulatory T cells in rheumatoid arthritis. I gained extensive knowledge in molecular cloning and gene focused expression techniques. Subsequently, I worked in the laboratory of Prof Sir Marc Feldmann (known for the discovery of anti-TNF therapy in rheumatoid arthritis) and Prof Udo Oppermann, using whole-genome wide sequencing techniques to investigate the epigenetic pathways in T and NK cells. Despite developing extensive knowledge of experimental design and state-of-the art laboratory techniques, at the time I was unable to analyse the resulting data to a high standard, which motivated me to apply for my current training fellowship in computational biology (CGAT).

The CGAT training fellowship is a highly competitive program that has the remit of “training the future leaders in computational genomics”. Since starting the program, I have developed a number of computational skills that allow me to write complex code, enabling the difficult analysis and interpretation of next-generation sequencing data. I have learnt six coding languages, some of them in my spare time, and have been involved in five collaborative research projects. For example, I have developed the analysis tools for the identification of guideRNAs for CRISPR knock out screens, which have been incorporated into a easy to use website.

My ultimate aim for the future is to build on the experience acquired during the CGAT fellowship and combine both my wet lab and computational skills to answer important research questions. In this regard, I enjoy the opportunity to work on a wide variety of projects as part of the CGAT fellowship, gaining exposure to a range of research projects and interacting with other scientists.

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Recent Publications

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