Many problems in geometry and physics (and other broader applications) involve minimisation of "energy". The term energy here is used as an umbrella term for many things, for instance purely geometric quantities such as lengths, areas, volumes, curvature, etc., more directly physical things such as total electromagnetic field strength, the potential and kinetic energy of a mechanical system, etc., and many others. In these contexts, the mathematical objects which are input into the energy are smooth functions from one space to another (e.g. maps of riemannian manifolds), and the condition for minimising the energy is that these functions satisfy specific partial differential equations (PDEs).
For most physically-relevant PDEs, solutions are unstable and eventually decay to the vacuum. However, remarkably there are theories whose solutions are stable; they do not collapse or decay even if the solution is deformed. Such solutions are very broadly known as solitons. Much of my research is interested in topological solitons. These are examples which owe their stability to properties inherited from the underlying spaces on which they are defined. As an intuitive example, imagine a choice of unit vector in the plane assigned to each point on the circle. Such vector fields are classified topologically by the winding number, that is, the number of times the vectors complete a full loop as you go around the circle. This notion of winding number generalises nicely to higher-dimensions by looking at unit vector-fields on spheres (in other words mappings of spheres of the same dimension). Modern physics is understood in the language of fields, and topological soliton models involve critical energy fields which have finite energy. This latter condition requires boundary conditions, and this gives rise to objects like these described above, which are classified topologically by a discrete set such as the integers (for example the winding number of a map of spheres). Physically these values are identified as numbers of particles or anti-particles in the theory.
The study of topological solitons is beautifully nonlinear, combining several sophisticated areas of mathematics including topology and geometry (both algebraic and differential), analysis of PDEs, to name a few, and often requires development of bespoke numerical methods. Their applications are widespread, from particle physics, condensed matter physics, and cosmology, to technological applications such as liquid crystal displays, large-scale storage devices, and quantum computing.
My research is generally focused on three main avenues, typically in the context of topological solitons:
Constructing explicit or approximate examples, and analysing and classifying moduli spaces;
Developing mathematical tools for probing physical and qualitative properties;
Identifying links between different field theories, and with aspects of differential geometry and topology.
You can read about some of these aspects in more detail via the tabs below.