Michael Stumpf

Professor Michael Stumpf holds the Chair in Theoretical Systems Biology in the School of BioSciences and in the School of Mathematics and Statistics. Michael’s work deals with the development of mathematical and statistical methods to infer the structure of mathematical models from data. His biological interest concerns cellular decision making processes, e.g. how does a single fertlised egg cell give rise to the diverse set of cells seen in complex multi-cellular processes.
In his methodological work he has made pioneering contributions to network inference and analysis, and Bayesian model selection applied to problems in systems and synthetic biology.