Maggie is currently a Research Fellow of Machine Learning & Cosmology at the University of Nottingham. Prior to this she held a research fellowship at the European Space Agency (ESA) based at the European Space Astronomy Centre (ESAC) in Madrid where she worked on projects in preparation for Euclid, a space based optical/IR telescope planned for launch in 2021. Euclid’s scientific goal is to map the dark Universe and help us learn about the nature of dark matter and dark energy.
In 2016 she obtained a PhD within the Astronomy & Space Research group at the University of Birmingham. The research was focused on using weak gravitational lensing and X-ray observables to determine precise mass measurements of galaxy groups and clusters. This was supervised by Dr Will M. Farr, Dr. Graham P. Smith and Prof. Trevor J. Ponman. Her main interests lies in cluster cosmology to help us better understand the entire cosmos and applications of bayesian statistical methods and machine learning to astronomical data.
Maggie graduated from the University of Kent in 2012 with a Mphys(Hons) in Astronomy, Space Science and Astrophysics. Her masters project involved simulating the collapse of clumpy molecular clouds using SPH modelling to study how FUV radiation affected the rate of collapse and star formation. She also spent a year of her undergraduate degree studying at the University of California, Los Angeles majoring in Physics.
Outside of work her interests include photography. She is also interested in art, fashion, beauty, hiking, reading, rock-climbing and geocaching.