Research Themes and Application areas
Complexity, Emergence & Upscaling. In mathematically oriented research we attempt to crystallise clear and appliable definitions of information content and emergent behaviour.
Complex Fluids and Complex flows. How do a small fraction of interacting particles conspire to dominate their flow properties, and how do those properties influence particular flows?
Clustering, Condensation and Jamming. Clustering phenomena are ubiquitous with applications ranging from raindrops to galaxies, and from facebook to traffic jams.
Complex Networks & their dynamics. The interplay between the connectivity of a network and its dynamics are central to key challenges today, such as epidemiology, biodiversity, neuroscience and markets.
Network Statistical Inference. The inference of network structure is a key approach we use in applications spanning multiple fields, from molecular biology to health and economics.
New Applications of Statistical Mechanics. This well developed set of tools finds fresh use in molecular biology, traffic theory and opinion dynamics.
