Profile

I am a PhD student at University College London, studying through the Centre for Doctoral Training (CDT) in Data Intensive Science. My research applies Machine Learning to the discovery and characterisation of Exoplanets, supervised by Dr. Vincent Van Eylen of UCL’s Mullard Space Science Laboratory (MSSL). Currently, I’m also working as a Support Astronomer at the Isaac Newton Group of Telescopes on La Palma in the Canary Islands, Spain.

Prior to my PhD, I also completed my undergraduate studies at UCL, receiving 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 infrastructure from space weather events.

Outside of my research, I am a strong advocate of science outreach: I run public tours at UCL Observatory, and have given talks to local astronomy societies. I have also enjoyed teaching coding to school students, and working as a teaching assistant in undergraduate observatory practical courses.