Computational Biology
The Computational Biology Group engages in theoretical and applied, interdisciplinary and practise-based research at the interface between computer science, mathematics and the biomedical sciences. Our research focuses on applying computer science and mathematical techniques to clinically and biologically pressing problems. Key applications include physiological modelling (heart, cardiovascular and cardiorespiratory systems, soft tissue mechanics and cancer), biological image and signal analysis, and systems biology. Work is almost entirely done jointly with domain specialists in life sciences and clinical departments. The Computational Biology Group also plays a key role in interdisciplinary initiatives across the University, including the Life Sciences Interface and Systeme Biology DTCs, the BBSRC/EPSRC-funded Centre for Integrative Systems Biology, and the EU FP7 projects euHeart and PreDiCT.
D.Phil Funding available
The Doctoral Training Centre has around 40 D.Phil studentships available annually across a range of interdisciplinaary areas including Computational Biology (this includes a small number available to international students). Please follow this link for details.
Recent News
Studentships
The Science & Technology Facilities Council (STFC) has agreed to sponsor a Doctoral “Global Challenge Studentship” at Oxford University’s Department of Computer Science in the area of Computational Healthcare. This work will be co-supervised by Dr Joe Pitt-Francis in the Computational Biology group at Oxford and Dr Martyn Winn at the STFC Daresbury Laboratory.
Related seminar series
Info
People
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(King's College, London)
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Past Members |
(University of Bristol)
(Associate Professor, Medical University of Graz, Department of Biophysics, Computational Cardiology Group)
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