Brief CV


I am Head of Bioinformatics at the MRC Institute of Genetics and Molecular Medicine (IGMM), one of the largest UK MRC research establishments supporting approximately 500 scientists. My group provides computational collaborative expertise to IGMM experimental research groups, and also carries out novel research in regulatory genomics. I am the Informatics Lead for the Scottish Genomes Partnership, and also a member of the EpiGeneSys network of excellence, various MRC Referee panels, and the editorial board of BMC Bioinformatics (2005-present).

Present position:

Head of Bioinformatics, MRC IGMM; Professor of Computational Biology

University of Edinburgh, UK

2001-present

I run a laboratory carrying out novel research in computational genomics and human disease. Our research activites span genomics, transcriptomics and epigenomics and can be broadly classed as regulatory genomics. We are particularly interested in the evolution of gene regulation in the human genome and the implications for human disease. In addition I head the institute Bioinformatics Service providing education, advice and collaborative expertise to all existing unit research programs.


Postdoctoral work:

Bioinformaticist

MRC Human Genetics Unit, UK

1998-2001

Collaborative sequence analysis developing custom solutions for a wide variety of groups involved in everything from yeast cell biology to human genetic disease susceptibility.

EU funded postdoctoral research fellow

Trinity College Dublin, Ireland

1996-1998

Investigation of the extent and patterns of gene duplication and gene conversion in the first releases of whole genome sequence data from C. elegans.

NIH funded postdoctoral research fellow

University of Michigan, USA

1994-1996

Empirical investigations of the evolution and maintenance of polymorphisms spontaneously arising in large, monoclonal microbial populations.


Thesis work:

PhD in population genetics

University of Edinburgh, UK

1990-1994

Experiments examining mechanisms underlying the maintenance of genetic variation for fitness using large populations of D. melanogaster and computer simulation.