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The Chancellor, Masters and Scholars of the University of Oxford
#http://www.ox.ac.uk/

 

Oxford University (UOXF) will work on semantic interoperability issues for integrating the EU cancer model/data repository with MGH-CViT and in particular will harmonize model mark-up language adoption in TUMOR environment.

 

Team Information

McKeever photo

Dr. Steve McKeever,
Ph. D., Researcher
UOXF

 


E-mail: Steve.McKeever@comlab.ox.ac.uk

Short Bio

Dr. Steeve McKeever studied computing science at Imperial College before taking an MSc in Advanced Methods in Software Engineering at Queen Mary and Westfield College. He completed his doctorate at Oxford and returned to London as a researcher in the Custom Computing group at Imperial. In 2002 he begun his current post as a lecturer in Software Engineering back in Oxford. The unifying theme of his research is to explore semantics-based methods for developing languages, systems and tools. He has used such methods for the design and implementation of: (a) provably-correct compiler generators,(b) hardware development tools based on imperative and declarative languages and (c) modelling of biological processes at both the cell and atomistic levels. The current focus of his work is on developing tools and languages for supporting component based modeling of the heart and various cancers. He has been actively involved in four multi-institutional projects on biological modelling: Integrative Biology, IntBioSim, euHeart and TUMOR. Various verification and transformation tools have been developed using rigorous Software Engineering techniques to support large scale simulations at both cell and atomistic levels.

 

Cooper photo

Dr. Jonathan Cooper,
Ph. D., Research Officer
UOXF

 

 


E-mail: jonathan.cooper@comlab.ox.ac.uk

Short Bio

Dr Jonathan Cooper completed his doctorate at the University of Oxford in the fields of software engineering and computational biology. His research has involved the application of computer science to facilitate the work of modellers, by automating optimisations of models to enable faster simulations. This is accomplished both by transforming CellML descriptions of those models and by generating efficient executable codes from CellML descriptions. He has also played an integral part in the development of Chaste (EPSRC grant EP/F011628/1), a project using test-driven, agile programming methods to develop a robust simulation package for cardiac activity, with a particular focus on the support for CellML. He is currently involved in the VPH NoE project as a researcher on the VPH ToolKit.

 

Johnson photo

Dr. David Johnson,
Ph. D., Researcher
UOXF

 

 


E-mail: david.johnson@comlab.ox.ac.uk

Short Bio

Dr David Johnson is a post-doctoral researcher the University of Oxford. His research interests centre on interfacing methods in computer science and software engineering with traditionally non-computing disciplines. Born and raised in British Hong Kong, David came to the United Kingdom in 1998 to study computer science at the University of Reading. After completing BSc (Hons) and MSc (Dist) degrees, in 2003 he started life as a doctoral student investigating the challenges of engineering software to support cooperative work. From 2007 David worked on the European Commission Sixth Framework 'g-Eclipse' project developing a scientific desktop workbench for accessing Grid, Cloud and High Performance Computing resources. In 2009 he moved on to briefly work in Professor Mark Pagel's Evolutionary Biology Group making supercomputing resources more accessible for phylogenetics research, before being recruited to the University of Oxford in 2010 to work on TUMOR.

 

 

 

October 22 - 23, 20125th International Advanced Research Workshop on In Silico Oncology and Cancer Investigation - The TUMOR Project Workshop (Athens, GR).

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