www.comlab.ox.ac.uk/people/David.Gavaghan/index.html

David Gavaghan

Personal photo - David Gavaghan

Professor  David  Gavaghan 



Professor of Computational Biology



Wolfson Building, Parks Road, Oxford OX1 3QD

Interests

Biography

David Gavaghan received his undergraduate degree in Mathematics from Durham University in 1986. From there he moved to the University of Oxford where he gained an MSc in Numerical Analysis and Mathematical Modelling in 1987 and a D.Phil in the Development of Parallel Numerical Algorithms in 1991. Since then he has been working in the field of Mathematical and Computational Modelling and has developed and now heads the Computational Biology Group which is based principally within the Computing Laboratory. In 2002 he was awarded substantial funding from the EPSRC to establish the Life Science Interface Doctoral Training Centre and this programme has just successfully renewed its funding for a further 5 years. To expand and complement the existing LSI DTC, a second Doctoral Training Programme in Systems Biology was funded in 2007 by the BBSRC and EPSRC. In October 2004 he was appointed Professor of Computational Biology and is working across departments, divisions and industry to ensure that Computational Biology is at the forefront of interdisciplinary research within the University of Oxford.

Group Information

David Gavaghan's leads the Computational Biology Group based primarily within the Computing Laboratory at the University of Oxford. His research is interdisciplinary and involves application of mathematical and computational techniques to problems in biomedicine, and in the associated basic sciences. A strong emphasis is placed on solving real-world problems and providing meaningful and practical help to scientific co-workers, and all of the work is therefore conducted in collaboration with internationally leading clinical and experimental groups, both within the UK and overseas.  David's core research revolves around the modelling of physiological and biological systems, and associated measurement techniques. Current areas of focus include the modelling of the mammalian heart, tumour development, and electrochemical measurement techniques. A key requirement for much of this work is the ability to extract detailed anatomic, geometric, and functional data for use in model development and simulation. This requires the use of advanced image analysis techniques, and has led to extensive collaboration with members of the Medical Vision Laboratory in the Engineering Science Department. The computational complexity of these research problems has resulted in a long-standing interest (starting with his D.Phil research) in the use of state-of-the-art computing facilities, and the development of the necessary computational infrastructure, to support the research scientist. This interest has led to a strong involvement in the UK e-Science programme, through projects such as the EPSRC e-Science Pilot Project in Integrative Biology, and the BBSRC-funded e-Science project IntBioSim.  

Current sources of Funding:

 

 

Selected Publications

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Chaste: A test-driven approach to software development for biological modelling

J Pitt-Francis et al.

Computer Physics Communications. Vol. 180. No. 12. Pages 2452-2471. December, 2009.

A Note on the Effect of the Choice of Weak Form on GMRES Convergence for Incompressible Nonlinear Elasticity Problems

P Pathmanathan, JP Whiteley, SJ Chapman and DJ Gavaghan

Journal of Applied Mechanics. Vol. (in press). 2009.

Chaste: Using Agile Programming Techniques to Develop Computational Biology Software

Joe Pitt-Francis et al.

Philosophical Transactions of the Royal Society A. Vol. 366. No. 1878. Pages 3111-3136. 2008.

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