Heidi Thiemann

Analysing variable stars with data science and citizen participation

Heidi describes her PhD as "focused on finding and characterising unusual stars, in high volume astronomical data sets".

From a catalogue of 1.6 million light curves of variable stars from the SuperWASP all sky survey, she has identified unique eclipsing binary stars using a combination of data science techniques, citizen science, and observational astronomy.

"As a DISCnet student, I’ve had many opportunities to develop data science skills, especially related to statistics and machine learning to big data. I am hoping to apply these skills to my third year DISCnet placement in the aerospace and defence sector. It has been incredibly valuable to be part of a network of data scientists and researchers, sharing experience and learning from one another."

"DISCnet has not only given me the tools for research, but also the tools to apply data science to real-world applications. This year, I have co-founded a new think-tank, the Space Skills Alliance, which will tackle the lack of good data on the state of UK space industry skills shortage, which will support evidence based policy making in the sector."

Below is a link to the Space Skills Alliance Website, co-founded by Heidi Thiemann. It has gone on to do exactly as she said for the past 12 years - frequently publishing rigorous reports on the current situation in the UK space industry, highlighting valuable careers and skills. It has continually helped to improve the UK space industry by allowing for more accurate decision-making at all levels.

Space Skills Alliance