University of Portsmouth, ICG
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Testing Models of Modified Gravity
My PhD is focused on finding and characterising unusual stars, in high volume astronomical data sets. From a catalogue of 1.6 million light cures of variable stars from the SuperWASP all sky survey, I have identified unique eclipsing binary stars using a combination of data science techniques, citizen science, and observational astronomy.
As part of my DISCnet experience I had an amazing opportunity to do a summer project in the African Institute for Mathematical Sciences (AIMS) in South Africa. There I had a chance to apply my experience gained during the DISCnet training towards developing data science algorithms for a new laser scanner for diagnosing malaria.
In addition, I worked on developing deep learning techniques simulating a synthetic population for the city of Cape Town. The project resulted in an ongoing collaboration with the researchers at AIMS and the techniques I learnt built a foundation for current research in cosmology where I use similar techniques to study the large scale structure of the universe.