Join us for the next Lunch Talk on 13 May. This time, Mina Jamshidi from the Machine Learning Group will talk about "Rethinking Explainability in Digital Pathology: Beyond Heatmaps". In her talk Mina will present a research program that consolidates explainable AI in computational pathology by moving beyond fragmented attention heatmaps toward systematic validation, biologically meaningful prognostic signals, and symbolic rule-based reasoning — reframing xAI as a rigorous, quantitative interface between data-driven models and biological insight.

As data management moves from isolated databases to geo-distributed and federated ecosystems, compliance has become a central systems challenge. Modern regulations, such as GDPR and CCPA, and governance requirements do not simply determine whether data access is allowed; they constrain how data is moved, disclosed, discovered, shared, and integrated across parties.