Profile

I am a PhD student at the Mullard Space Science Laboratory of University College London, supervised by Dr. Vincent Van Eylen. I am studying through the Centre for Doctoral Training (CDT) in Data Intensive Science, applying Bayesian methods and machine learning to the discovery and characterisation of Exoplanets. I am particularly interested in how we can optimise future radial velocity observations, and the use of multi-dimensional Gaussian processes to mitigate stellar activity.

In 2023, I worked as a Support Astronomer at the Isaac Newton Group of Telescopes on La Palma in the Canary Islands of Spain, primarily working with the Intermediate Dispersion Spectrograph and the Wide Field Camera.

Prior to my PhD, I also completed my undergraduate studies at UCL, achieving an MSci in Astrophysics with First-class Honours in 2021. My 3rd-year group project focused on exoplanets, specifically transit timing variations in the orbits of “Hot Jupiters”, while my MSci dissertation focused on astronomical instrumentation and data analysis. I also completed an RAS Summer Internship at MSSL, using recurrent neural networks to predict risks to terrestrial infrastructure, such as power grids and telecommunication networks, from space weather events.