Dr. Zulit Arrubarrena Tame

Biography

Zulit Paola Arrubarrena Tame's research focuses on developing methods to analyze radio astronomy data using tools from rough path theory. Rough path models have the potential to help in the development of measurement instruments and processing techniques used in new telescopes. She is collaborating with the new Square Kilometre Array (SKA) telescope at Cambridge, aiming to improve detection sensitivity and focus on Epoch of Reionization (EoR) signals. Before arriving at Imperial College, she completed her PhD in experimental particle physics at Ludwig Maximilian University of Munich (LMU), where she primarily analyzed data taken by the ATLAS detector at CERN in the search for Dark Matter. She has collaborated in developing models that apply machine learning techniques to improve results. Additionally, she was a visiting researcher at the Alan Turing Institute's Data Science Group in the UK, where she contributed to the project aimed at developing mathematical and computational tools based on rough path theory for machine learning environments.

Research Interests