A person posing for a photo.

Rosie Bartlett

Using simulation data to develop machine learning methods to detect tidal stellar streams of material in Milky Way-type galaxies to better understand the processes of galaxy formation and galaxy interactions.

Rosie graduated with a BSc in Astrophysics from Cardiff University in 2023 which included a final year project focused on the early stages of massive star formation in infrared dark clouds. Working on this project highlighted how important strong computing and data analysis skills are to the study and practice of modern astronomy so she next undertook a master’s degree in Data Intensive Astrophysics, also at Cardiff University, graduating in 2024. This included taught modules in data analysis and machine learning and a dissertation project focused on molecular line tracers in the Milky Way and other galaxies. This has prepared her to join LIV.INNO as a PhD student on a project which aims to use simulation data to develop machine learning methods to identify stellar streams in Milky Way-type galaxies.

Throughout her master’s studies, Rosie has also worked as an astronomy lab demonstrator and, occasionally, a student ambassador.