Research

My research involves applying methods from topological data analysis to theoretical and computational particle physics.

I use high-performance computing paired with state-of-the-art data science methods to analyse Monte Carlo generated lattice gauge theory configurations.

In particular, I am interested in applying novel topological feature extraction methods to construct observables relevant for confinement in Yang-Mills theory. Topological excitations such as center vortices and Abelian magnetic monopoles can correlate with the deconfinement phase transition very precisely.

The hope is that these methods will allow us to delineate the phase structure of quantum chromodynamics, the theory underpinning the elementary strong interaction of quarks and gluons.