Working within the Roman Space Telescope Galaxy Redshift Survey Project Infrastructure Team I develop and generate mock galaxy catalogues, based on improved galaxy formation models. These mocks are used to simulate realistic end-to-end datasets for the mission, which in turn are used to test survey strategies and analysis methods. In parallel, I develop and supervise projects on strong gravitational lensing, including simulations connected to a JWST programme targeting the Bullet Cluster. I also led spectroscopic observations of a strong lens system with multiple background sources, using the Magellan telescopes.

Conducted research on cosmology and dark matter using large-scale structure and gravitational lensing, with a focus on how robustly physical information can be extracted from observational data. I developed models of galaxy infall kinematics to interpret cluster–galaxy correlations in redshift space, and showed how modelling assumptions on small scales can bias cosmological inference. I also investigated the ability of weak lensing to constrain dark matter physics, demonstrating that cluster shapes inferred from lensing are largely insensitive to self-interacting dark matter because weak lensing measures the projected mass distribution on large scales, where differences between dark matter models are washed out. In parallel, I contributed to JPL’s large-scale structure analysis pipeline, including data vector and covariance calculations, and developed software for Pseudaria, a framework designed to detect and mitigate unknown systematics in survey data.

I ran and analysed cosmological simulations spanning dwarf galaxies to galaxy clusters including self-interacting dark matter and baryonic physics, developed ray-tracing tools to generate mock gravitational lensing data, and worked on analytical models of dark matter halo density profiles in the presence of baryons. I also produced weak lensing mock catalogues for the Euclid “Enabling Weak Lensing Cosmology” project.

Thesis on The Cosmological Implications of Self-Interacting Dark Matter. Supervised by Richard Massey and Vincent Eke.

First Class degrees: MSci & BA(Hons)
Masters Thesis: Fast Simulation of Atmospheric Phase Screens for Adaptive Optics