We are developing modelling and analysis tools that act as a quantitative computational ‘bridge’ between the genetic-network models discovered in diverse plants in our Predicting mechanisms and networks program and the targeted applications for crops across environments in our Innovating responsibly program.  

These tools rely on new knowledge developed in the domain of advanced mathematical modelling and computational algorithms.  

Fundamental methods for dealing with complex dynamical systems include model calibration, emulation, uncertainty quantification, and stochastic modelling, with extensions to dynamics on fitness landscapes using manifold theory.