Process & Systems Modelling

Mathematical models of biological and environmental processes both encapsulate and enhance our understanding of these systems. New modelling methodology is required to address the increasing complexity of models being considered, whilst new statistical methods are needed to fully integrate models and data in the face of a gathering pace of data acquisition.

Currently highlighting

In the menu on the right we present some highlights; more detailed overview of key themes and applications is given below.

Key themes of our process and systems modelling work

Using models to understand emergent properties of systems

Developing inference methods for stochastic processes

See recent publication describing a novel method for fast inference in discrete state Markov processes

Application areas


We have:


We have used models to increase understanding of a range of ecological issues including:

In addition, we have also used models to explore

See the recent publication on the ecology of wildlife disease surveillence

Modelling microbiomes

We have developed a range of models and approaches to describe the complex dynamics and behaviours of microbiomes. Applications include:

Research Theme Leader

Glenn Marion is Principal Researcher in Process & Systems Modelling

Lead contributors to the process & systems modelling research area


Statistical Genomics and Bioinformatics

Process and Systems Modelling

Statistical Methodology

PhD Opportunities

Meetings & Seminars