Abstract: Luis Oala's (Fraunhofer Heinrich Hertz Institute, Expected 2021) research focuses on gaining a better understanding about the vulnerabilities of deep neural networks and finding tests to make these vulnerabilities visible, primarily through the lens of uncertainty quantification. Together with his research group, Luis has developed an effective and modular alarm system for image reconstruction DNNs. The alarm system, called Interval Neural Networks, allows for high-resolution error heatmaps during inference for use cases such as CT image reconstruction. As co-chair of the Working Group on Data and AI Solution Assessment Methods in the ITU/WHO Focus Group on AI4H (FG-AI4H), he also leads a group of interdisciplinary experts working towards a standardized assessment framework for the evaluation of health AIs