I am a PhD candidate at Carnegie Mellon University’s McWilliams Center for Cosmology. Before that, I received a BSc (Hons) in Physics & Astrophysics from the University of Glasgow.
Outside of physics, I am interested in artificial intelligence and quantitative finance.
Broadly speaking, my research deals with disentangling subtle signal from dominant noise, using statistics, machine learning, and data analysis methods.
I’m currently working on optimizing the observing strategy of the Large Synoptic Survey Telescope (LSST), the world’s largest ever imaging galaxy survey, for weak gravitational lensing science. Before that, I worked on LIGO, the 2017 Nobel Prize-winning experiment at the University of Glasgow’s Institute for Gravitational Research, and the Dark Energy Spectroscopic Instrument at Durham University’s Institute for Computational Cosmology.