Camila Roa

Camila is a PhD student in the Department of Data Science at the Hertie Institute for AI in Brain Health at the University of Tübingen and the IMPRS-IS graduate school. She is currently using self-supervised learning methods to create representation spaces for datasets of retinal images to then visualize them in 2D with neighbor embedding algorithms. Her research interests include interpretability and robustness in medical applications of ML.