Johan is a senior researcher at BISS. His background is in medical informatics and is working on societally acceptable machine learning. This work can be applied within and outside of the healthcare domain. Specifically, he is working on tools to make data more FAIR (findable, accessible, interoperable, reusable), privacy-preserving machine learning over multiple data sources, and FAIR descriptions of AI models. All from the practical perspective, taking into consideration the stakeholders and their roles and responsibilities.