Prof. Kevrekidis will participate in the semester-long program Stochastic Dynamical Systems in Biology: Numerical Methods and Applications to be held at the Isaac Newton Mathematical Institute for Mathematical Sciences at the University of Cambridge in the Spring of 2016.

The program theme notes that "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 program is to develop methods and analysis, as well as efficient algorithms for simulations, to bridge the range of different biological scales."