Data scientist having recently completed a PhD in Astrophysics. I have over 5 years experience in implementing statistical models on various complex datasets (TB scale). Working between several large teams, I have significant experience in simplifying complex concepts for a variety of audiences, and, managing competing priorities. For me, presentation and detail is crucial, and, I am enthusiastic to develop data driven solutions to new problems.
PhD in Astrophysics, 2020
University of St Andrews
MSci in Theoretical Astrophysics, 2016
University of Nottingham
5+ years experience
3+ years experience
3+ years experience
5+ years experience
Individual development, Small group teaching
Sklearn, Keras, Tensorflow
Working as part of the Centre for Computational Astrophysics, I condensed TB datasets to understand theoretical galaxy formation
Skills developed: big data, efficient programming, distributed computing
Combined a variety of large datasets (i.e. different formats and structure) to create statistical models of galaxies formation and determine how they depend on the (dark) matter we can’t see.
Skills developed: big data, python, statistical modelling, data visualisation, concise writing
Range of modules covering image processing, mathematics, programming, statistics, and, extended project work.
Awards: Masters research abroad scholarship, Piazzi Smyth scholarship, BP research scholarship, Sir Peter Mansfield high-achiever scholarship, 1st year academic achievement award