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Isaac Newton Institute for Mathematical Sciences

Stochastic Dynamical Systems in Biology: Numerical Methods and Applications

4 January - 24 June 2016

Organisers: Radek Erban (Oxford), David Holcman (ENS - Paris), Samuel Isaacson (Boston) and Konstantinos Zygalakis (Southampton)

Scientific Advisory Committee: Timothy Elston (UNC Chapel Hill), Hans Othmer (Minnesota), Linda Petzold (UC Santa Barbara) and Per Lötstedt (Uppsala)

Programme Theme

SDB programme identifier 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. In support of this goal, the programme will focus on
  • Analysis of stochastic dynamical systems and applications in molecular and cellular biology.
  • Development of efficient computational methods for simulating stochastic equations over various scales.
  • Identifying new research areas.

In particular, three interlinked focus areas will run throughout the programme:
  1. Analysis, computation and development of non-spatial (well mixed) models.
  2. Analysis, computation and development of spatio-temporal reaction-diffusion models, including Brownian dynamics and compartment-based simulations (reaction-diffusion master equation).
  3. Multiscale methods.

The programme will feature an opening, midterm and closing workshop at the Isaac Newton Institute, as well as a Satellite Meeting.