Tilburg, North Brabant, Netherlands
I am a postdoctoral researcher at Erasmus MC working on one of the central challenges in healthcare innovation: how to move artificial intelligence from technical promise to safe, trustworthy, and clinically meaningful use in practice. My work focuses on the real-world implementation of clinical AI, with particular interest in deployment readiness, governance, validation, human oversight, and AI literacy. I study what is needed to translate AI from development into workflows that clinicians can trust, use, and benefit from in everyday care. Using intensive care as a high-acuity testbed, I work at the intersection of clinical practice, implementation science, and digital innovation. My broader aim is to help healthcare organizations adopt AI in a way that is not only technically sound, but also responsible, practical, and scalable. In parallel, I contribute to medical education by helping shape how future physicians are prepared to understand, assess, and use technology and AI responsibly in clinical practice.
Contributing to the development of a future-proof medical curriculum in which technology, digital health, and AI are structurally embedded. Focused on defining learning objectives, competencies, and educational pathways that strengthen AI literacy and prepare future physicians to use technology responsibly and effectively in clinical practice.
Postdoctoral researcher at Erasmus MC focused on how artificial intelligence can be translated from technical innovation to safe, trustworthy, and clinically meaningful use in practice. My work centers on the responsible implementation of clinical AI, with particular interest in: • deployment readiness • governance and oversight • validation and real-world evaluation • workflow integration • AI literacy in healthcare I study what is needed to ensure AI is not only technically strong, but also usable, responsible, and scalable in daily practice.
Conducted research on AI literacy and the responsible implementation of artificial intelligence in clinical settings at Erasmus MC. Worked on questions related to how education, governance, implementation science, and workflow integration can support the safe, ethical, and clinically meaningful adoption of AI in healthcare. Research topics included: • AI literacy for healthcare professionals • responsible implementation of generative AI • governance and oversight • workflow integration • translation of innovation into practice
Contributed to work on the operationalization of AI ethics by translating high-level ethical principles into practical considerations for implementation, governance, and responsible use in healthcare. This fellowship strengthened my interest in the interface between ethical AI principles and their real-world application in health systems.
Conducted pioneering research in clinical Artificial Intelligence, with a focus on translating AI innovations from data to real-world intensive care settings. Developed and evaluated methods to ensure safe, effective, and responsible AI implementation at the bedside, bridging the gap between algorithm design and clinical impact.