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UCL Division of Biosciences

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Prof David Jones

Prof David Jones

Professor of Bioinformatics

Dept of Computer Science

Faculty of Engineering Science

Joined UCL
1st Jul 2001

Research summary

My main research interests are in protein structure prediction and analysis, simulations of protein folding, Hidden Markov Model methods, transmembrane protein analysis, machine learning applications in bioinformatics, de novo protein design methodology, and genome analysis including the application of intelligent software agents. New areas of research include the use of high throughput computing and Grid technology for bioinformatics applications, analysis and prediction of protein disorder, expression array data analysis and the analysis and prediction of protein function and protein-protein interactions.

Teaching summary

I currently organise the Bioinformatics module which is part of the MSc Machine Learning and Computational Statistics degree at UCL and contribute lectures to the 3rd year UG Bioinformatics course in the Dept. of Structural and Molecular Biology.

Education

University College London
PhD, Biochemistry | 1993
King's College London
MSc, Biochemistry | 1990
Imperial College of Science, Technology and Medicine
BSc Hons, Physics | 1989

Biography

David Jones received his B.Sc. in Physics from Imperial College and then went on to do an M.Sc. in Biochemistry at Kings College London, followed by a PhD in computational biology at University College London. After completing a Wellcome Trust Biomathematics Fellowship at UCL, in 1995 he was awarded a Royal Society University Research Fellowship to set up his own lab at the University of Warwick. In 1999, at 32 years of age, he became the first Professor of Bioinformatics in the UK at Brunel University. In 2001, he was appointed Professor of Bioinformatics at University College London (a joint appointment between the departments of Biochemistry and Computer Science). He is currently the Director of the Bloomsbury Centre for Bioinformatics, a joint research centre between UCL and Birkbeck College. His lab aims to develop and apply state-of-the-art mathematical and computer science techniques to problems now arising in the life sciences, particularly those driven by the post-genomic era. David\'s main research interests include protein structure prediction and analysis, simulations of protein folding, applications of Hidden Markov Models, transmembrane protein analysis, machine learning applications in bioinformatics, biological text mining, de novo protein design methodology, and genome analysis including the application of intelligent soft ware agents. He is also the author of a number of very well-known bioinformatics applications: THREADER, GenTHREADER, PSIPRED and MEMSAT, and was one of the original co-authors of the CATH protein structure classification scheme developed in the Dept. of Biochemistry at UCL (along with Profs. Christine Orengo and Janet Thornton). David was also a co-founder of Inpharmatica Ltd., which was founded in 1998 as a spin-out company from University College London. The company uses a combination of bioinformatics and chemoinformatics to look at the relationships between the structure and function of proteins, and the binding of chemical groups to these proteins leading to the discovery of novel drugs.
Publications