Embedded Files
I am a postdoctoral research fellow at the Centre for Radio Astronomy Techniques & Technologies (RATT, Rhodes University).
My current research focuses on Big Data and the use of Machine Learning techniques in Astronomy. My primary goal is to aid our understanding of the gas kinematics of galaxies and develop fast pipeline tools in order to prepare for first light of the Square Kilometre Array. Studying gas kinematics provides us with important information on star formation, central black hole activity, interactions with surrounding environments, galaxy merger dynamics, and more. It is therefore of great importance for us as a community to be prepared for the data volumes and velocities the SKA has in store.
MY CAREER AT A GLANCE…
MY CAREER AT A GLANCE…
I am currently a postdoctoral research fellow at Rhodes University. As a member of the Centre for Radio Astronomy Techniques & Technologies (RATT) I am conducting research in partnership with the South African Radio Observatory SARAO.
During my PhD, as a member of the CDT, I’m was involved with industry partners, carrying out 6 months of placement activities in data science, applying machine learning to challenges in cyber security.
During my PhD, I used machine learning to solve problems from extra-galactic astronomy to exoplanet detection with ARIEL.
In 2017 I moved to Cavendish Laboratory (Cambridge University) to study the applicability of machine learning to the Next Generation Transit Survey. This three month project was supervised by Professor Didier Queloz and Dr Edward Gillen and became my first step into the world of machine learning in astronomy.
I started my career in Astrophysics at Cardiff University (UK) in 2013. There I studied for a BSc in Astrophysics before undertaking an MSc in Astrophysics in 2016.
Page updated
Google Sites
Report abuse