Olga conducts research on anomaly detection for histopathology as part of the AI & Data Science Fellowship Program between the University of Tübingen and Boehringer Ingelheim. The goal is to find any deviation from healthy tissue, such as pathologies, based on image data. Her other research interests include out-of-distribution detection, uncertainty quantification, Bayesian machine learning, and physics-informed neural networks. Prior to joining the group, she was a PhD student in Mathematics at the Technical University of Munich. She also holds an MSc degree in Applied Mathematics from Tallinn University of Technology.