Christin Seifert

Christin Seifert is an Associate Professor specializing in Datamanagement & Biometrics. Her research focuses on interdisciplinary areas such as machine learning applications in healthcare, explainable AI, and distributed systems. She contributes to UN Sustainable Development Goals through her work in health informatics and data management.

Her expertise spans causal discovery using neural networks, clinical process optimization in oncology care, and improving user trust in artificial intelligence systems. Notable collaborations include studies on breast cancer care pathways and post-structuring radiology reports for clinical quality assurance.

Research outputs highlight advancements in attention-based models for decision-making, provenance tracking in distributed ML, and ethical AI design. Despite no listed awards, her work has been cited over 190 times in key publications. She has supervised one academic project but no student names are specified. No dedicated labs or teams are explicitly mentioned in the provided data.