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Stochastic Dynamical Systems in Biology: Numerical Methods and Applications

4th January 2016 to 24th June 2016

In the past decades, quantitative biology has been driven by new modelling-based stochastic dynamical systems and partial differential equations. Examples from gene regulation, molecular signalling, cell division and molecular transport, as recently revealed by live cell images, have shown that many processes in cells and in molecular biology are inherently driven by stochastic events. One of the biggest challenges we propose to address in this programme is to develop methods and analysis, as well as efficient algorithms for simulations, to bridge the range of different biological scales.

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Stimulating the interchange of knowledge and ideas between academics from different disciplines and users of modern mathematics such as industry and policy makers, the Turing Gateway facilitates access to experts with highly specialist mathematical knowledge.

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The Institute now invites proposals for 1-, 4- and 6-month research programmes in any branch of the mathematical sciences.

The deadline for submission is 31 July 2016, for consideration at the meeting of the Scientific Steering Committee in October 2016.

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The Isaac Newton Institute is a singularity in the research landscape - scientists from the whole world meet and push the frontiers of science.

Stephanie Widder

Stefanie Widder, University of Vienna

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University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons