Welcome to the Structured Materials research group.

We are interested in studying, modelling, quantifying, and classifying structural complexity in a wide range of contexts, from biomolecules to self-assembling systems and networks. To achieve this, we use computational and theoretical approaches such as algorithmic information theory and network analysis.

The fundamental research questions we are interested in include: How does structural complexity arise in biological evolution? How much information do we require to encode a self-assembling structure? What can the algorithmic compression of network structures tell us about the network?