Anna Breger is an Assistant Research Professor in the Cambridge Image Analysis Group at the DAMTP, University of Cambridge (UK) and a member of the AI for cultural heritage hub (ArCH) Cambridge. She is leading the research project Non-invasive imaging and machine learning techniques for the reconstruction of degraded historical sheet music in collaboration with the cultural heritage imaging laboratory (CHIL) at the University Library, the Fitzwilliam museum and the Gonville & Caius library in Cambridge, aiming to reconstruct/transcribe lost historical music notation in degraded manuscripts. 

Previously, she had been a member of the global AIX-COVNET collaboration working with medical images obtained during the covid-19 pandemic and from 2022-2025 she held the prestigious Hertha Firnberg fellowship funded by the Austrian Science Fund, leading a research project on image quality asssessment for applications with medical images.