Mathematical Biology

We develop and apply mathematical and computational models to study cell and developmental biology at the cell and tissue levels. Combined with experiments, they provide insights into the mechanisms of embryo development.

We focus on computational modelling of materials and structures with a major focus on the multiphysics of neurons and brain and applications in Ultrasound Neuromodulation and TBI. We develop and use state-of-the-art advanced numerical techniques.

We engineer the catalytic properties of plant enzymes as a mechanism to improve plant stress tolerance and/or productivity. Our current focus is on oxygen-sensing Plant Cysteine Oxidases, which we modify to enhance plant adaptation to hypoxia.

We use ecology and evolution to understand and engineer microbial communities, including the human microbiome.

We use mathematical modelling and mechanics to explore morphogenesis, growth, diseases with a special emphasis on plants and the brain.

We develop microscopy, algorithms and approaches that enable the observation and study of phenomena that have been thought to be 'invisible'. We aim at improving the measurement and characterisation of biosystems, focusing on protein-protein interactions.

We apply theoretical and computational tools from statistical mechanics to study how complex behaviour emerges from the interaction of many individual objects. We are particularly interested in biological physics and the dynamics of soft-matter.

T cells initiate immune responses to clear infections and cancers. They integrate signals from various surface receptors using intracellular signalling molecules. We use quantitative methods to understand this process and enhance human health.

A group researching complex networked control systems, biological and technological with a focus on mathematical modelling.

Creating biotechnologies at the interface of control engineering, synthetic biology and robotics.

We investigate the behaviour of the metabolic systems of plants in order to devise metabolic engineering strategies that will improve the productivity and quality of crop plants. We use both computational and experimental approaches to achieve this.

We investigate how bacteria adapt to stress by examining DNA repair and mutagenesis. Using advanced microscopy and microfluidic devices, we visualize these processes in real-time, uncovering insights into variable phenotypes and mutation rates.

We investigate the mechanisms underlying biological processes by building biologically realistic mathematical/computational models, testing and refining them. We use currently available experimental data, and make experimentally verifiable predictions.

We use theoretical and computational methods to study the physics of soft matter and living systems. We are currently interested in collective behaviour of active systems and mechanobiology.