Julia Wolleb studied mathematics at the University of Basel, with a main focus on Numerics and Algebra. She received her Master’s degree in 2018, with a thesis at the Swiss Tropical and Public Health Institute in the Mathematical Epidemiology group.

Currently, Julia is a researcher at the Center for medical Image Analysis and Navigation (CIAN) at the Department of Biomedical Engineering, University of Basel. Julia’s 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. The applicability of deep learning methods in real-world scenarios is of great interest to her, and Julia is enthusiastic about finding solutions to establish reliable image analysis methods in everyday applications.