Olga Graf

Olga Graf is a Research Fellow at the University of Tübingen within the Faculty of Mathematics and Natural Sciences, Department of Computer Science. She is part of the AI & Data Science Fellowship Program in collaboration with Boehringer Ingelheim, focusing on anomaly detection for histopathology and physics-informed neural networks.

• PhD in Mathematics, Technical University of Munich
• MSc in Applied Mathematics, Tallinn University of Technology

Her research interests span anomaly detection, Bayesian machine learning, and uncertainty quantification, with applications in histopathology and physics-informed AI. She also explores out-of-distribution detection in machine learning models.

Olga is affiliated with the Machine Learning team at the University of Tübingen, working on advancing AI techniques for medical imaging and data science applications.