Patricia Stöhr joined the Visual Computing Group in April 2026. She is involved in KEMAI, an interdisciplinary research training group that focuses on knowledge infusion and extraction for explainable medical AI.
In 2025, she completed her Master of Science in Artificial Intelligence at Ulm University, graduating with distinction. Her Master’s thesis focused on Test-Time Training for medical image analysis.
She earned her Bachelor’s degree in Computer Science from the University of Konstanz in 2023.
Research Interests
- Mechanistic Interpretability
- Explainable AI in Medicine
- Multimodal AI Integrating Medical Text and Medical Imaging
Talks
- Paper Oral: MICCAI Workshop CLiMeM (2026) in Strasbourg, France Link