In my research I use machine learning algorithms to understand the high-dimensional data output by atomistic molecular dynamics simulation and to enhance the rate at which phase space is sampled.  This can help us to understand why the atoms in biomolecules, materials and clusters adopt the structures they do, which can in turn allow us to suggest design strategies for specialized materials and molecules.  More information on my research is available on the Atomistic Simulation Centre website.