
Molecular Biosciences
Mathematical Sciences
Imperial College London (London, United Kingdom)
The research in the Theoretical Systems Biology Group uses mathematical, statistical and computational methods to explore functional, evolutionary and statistical problems in systems biology. The methods we use can be applied widely in evolutionary biology, systems biology and bioinformatics, and beyond.
Our research covers several different areas, which include:
- Development of inferential procedures for model selection and parameter estimation in complex dynamical systems
- Bayesian reverse engineering of biological systems using statistical, comparative and text-mining approaches
- Inference-based modelling of signalling and regulatory networks in bacteria, pathogenic fungi and mammalian systems
- Bayesian analysis of gene regulation and signalling
- Multi-scale modelling of signal transduction and decision making processes in immunology, haematopoiesis and stem-cell biology more generally.
- Identification of molecular mechanisms underlying disease and drug response mechanisms.
- Stochastic processes and statistical inference in the evolutionary analysis of biological networks
- Sampling properties of random networks
- Mathematical and statistical properties of complex stochastic systems and networks
Our work involves extensive computer simulations as well as analytical approaches. We are also interested in analyzing real data and work closely together with both experimental and clinical scientists.
2008-present Member BBSRC Training and Award Committee
2006-2009 Member BBSRC Engineering and Biological Systems Committee
2011 Fellow of the Society of Biology
2010 Rector's Medal for Excellence in Research Supervision
2010 Royal Society Wolfson Research Merit Award
2004-2006 EMBO Young Investigator
1999-2002 EPA Cephalosporin Junior Research Fellow



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