Michael PH Stumpf

Michael PH Stumpf, D.Phil., Dipl. Phys.

  • Position:
    Professor

    Molecular Biosciences

    Mathematical Sciences

    Imperial College London (London, United Kingdom)

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  • Degrees:
     
    D.Phil., Theoretical Physics, University of Oxford (Oxford, UK)
     
    Dipl. Phys., Physics, University of Gottingen (Gottingen, Germany), Eberhard Karls University of Tubingen (Tubingen, Germany)
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  • Past Advisors:
     
    Robert M May (as Post Doctoral Fellow)
     
    David E Logan (as Graduate Student - Ph.D.)
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  • Research:
    The common themes to my work are the analysis of stochastic processes that give rise to highly structured data, and the development of tools to reverse-engineer the structure, dynamics and evolutionary history of biological systems, ranging from prokaryotes to humans.

    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.

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  • Other Experience:

    2008-present Member BBSRC Training and Award Committee

    2006-2009 Member BBSRC Engineering and Biological Systems Committee

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  • Honors:

    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

Life Sciences
Health Sciences
Physical Sciences
Communities:

Michael Stumpf's Genealogy

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Michael Stumpf's Publications (67)




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