My research is centered on problems at the intersection of cultural heritage and mathematics. This primarily involves developing computational models and methods to process various imaging modalities and support art historians, conservators, and heritage scientists.

I am a PhD student in the Cambridge Image Analysis Group supervised by Carola-Bibiane Schönlieb, and am also part of the the AI for cultural heritage hub (ArCH) and the project Non-invasive imaging and machine learning techniques for the reconstruction of degraded historical sheet music (also with Anna Breger). I previously worked on image analysis and art investigation as part of the ARTICT research team, while studying mathematics and computer science at Duke University.

You can learn more about the projects I am involved in on my personal homepage!