Julia Wolleb studied mathematics at the University of Basel, with a main focus on numerics and algebra. She completed her master’s degree in the Mathematical Epidemiology group at the Swiss Tropical and Public Health Institute (Swiss TPH) in 2018.

She is currently a researcher at the Center for Medical Image Analysis & Navigation at the Department of Biomedical Engineering at the University of Basel. Her research has focused on finding new deep learning algorithms for anomaly detection and localization in medical images. Her work has explored different approaches for tasks such as segmentation, weakly supervised anomaly detection, image-to-image translation and domain adaptation. She is very interested in the applicability of deep learning methods in real-world scenarios, and she is enthusiastic about finding solutions to establish reliable image analysis methods in everyday applications.