Application and development of computational methods and tools for modeling and analyzing complex biological systems.
The Group’s aim is to enable and accelerate fundamental advances in biology in areas that present important challenges and opportunities, but where current scientific approaches continue to pose barriers to such advances. Our focus is on aiming to achieve this through two interconnected strands:
The first is through enabling a deeper understanding of fundamental biological processes in four important areas of biological functioning: 1) Cellular information processing, including cell-cycle; 2) Immune system processes; 3) Developmental processes, including stem cell behaviour and organogenesis, and 4) Neural processes.
The second is through the research and development of novel computational scientific methods that integrate theoretical, experimental and modelling approaches, and that enable comprehensive, realistic modelling, analysis, synthesis and visualisation of complex living systems at a whole-system level.
Central to our work is an undertaking to develop a fully programmable generic model of a cell as the central functional unit underpinning our modelling efforts, which can eventually be used to enable scientists across a range of domains (e.g., developmental biology, neuroscience, immunology, molecular biology, stem cell research, cancer research) to build specific cell-type models and modelling environments easily. Underpinning this is a research effort into process-based, state-based and scenario-based algorithms, methods and tools as ‘executable’ programming languages for biology, to enable new kinds of quantitative and precise questions, representations and explanations of living things.
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| Cory Plock | Filippo Polo |
- Simon Youssef (PhD Scholar, Intern)
- Alistair Bailey (PhD Scholar)
- Antje Beyer (PhD Scholar, Intern 2009)
- Michael Pedersen (PhD Scholar, Intern 2008)
- Rosie Bloxsom (Intern 2008)
- Andrei Popescu (Intern 2008)
- Itai Segall (Intern 2008)
- Dennis Wang (Intern 2008)
Computational Science
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- Computational Biology
- Computational Ecology and Environmental Science
- Natural Computation
- Publications
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