AI and NLP for Healthcare
I am an Assistant Professor in AI and NLP for Healthcare at UMC Utrecht. My work combines clinically grounded machine learning, natural language processing, and practical deployment, with a focus on making AI systems useful and trustworthy in real clinical workflows.
News
AAP workshop — Sunday, 18 October 2026
Together with Robert Bagheri, I am hosting the Alternative Architectures and Paradigms workshop at INLG 2026 on Sunday, 18 October 2026, at the Spoorwegmuseum in Utrecht. Join us to explore what comes next for language generation, with a keynote by Chen Shani and six accepted-paper presentations. The workshop runs from 13:00 to 16:30, with lunch available from 12:00. View the program and register through INLG.
BYOD: Build Your Own DLM — preliminary demos
A preliminary project exploring parameter-efficient conversion of existing autoregressive language models into diffusion language models using LoRA adapters. Try iterative, parallel text generation with conversions of Gemma 2 9B, Llama 3.1 8B, Qwen2.5 7B, and Ministral 8B in four interactive demos.
Gemma demo · Llama demo · Qwen demo · Ministral demo
Research interests
- Clinical use of large language models
- AI-assisted medical documentation workflows
- Trustworthy evaluation of healthcare AI
- Medical image analysis and clinically grounded ML
- Alternative architectures and generative paradigms for LLMs
Current focus
I work on AI and NLP methods that support clinicians without losing sight of clinical context, methodological rigor, or practical usability. That includes evaluation design, workflow integration, and collaboration across technical and clinical domains. In the meantime, I also try to develop more efficient LLM methods, for example through diffusive generation, which you can try out on this page!