My background is in clinical data science, specifically shared decision making and AI implementation in healthcare. My work focuses on what happens after an AI model is built: whether a clinician can act on the output, and whether a patient can understand it well enough to make a genuinely informed decision.
During my PhD at Maastro/Maastricht University, I developed and evaluated decision support tools for cancer patients and clinicians. One of these was commercialized through the PATIENT+ platform, now active in hospitals across the Netherlands. Since then I have worked on the regulatory and implementation side of healthcare AI, including leading the training program of REALM, a Horizon Europe project bringing together researchers, AI developers, and policymakers across Europe to build an evaluation pipeline for AI-based medical device software (MDSW).
At Maastro I work within the Clinical Data Science group on OPERAI, a project that uses AI to personalize radiotherapy treatment decisions and streamline the clinical workflow across three Dutch radiotherapy centers. There are a lot of promising AI tools that never make it to the clinic, and closing that gap is what drives most of my work.