I lead a research group on AI for Clinical Decision-Making at the Medical University of Innsbruck.

My research focuses on building machine learning models that work reliably in real clinical environments — across different hospitals, patient populations, and over time. I’m particularly interested in leveraging large-scale ICU data to develop foundation models that generalise beyond the settings they were trained on.

Since February 2026, I’m the PI of GPT-MEDIC, a €1.5M ERC Starting Grant to develop and validate multicentre foundation models for ICU time-series data. I also coordinate MUI’s participation in INDICATE, a consortium building federated data infrastructure for intensive care across Europe.

Before joining Innsbruck, I was a Humboldt Research Fellow at Charité – Universitätsmedizin Berlin, where I worked on EHR-based early warning scores for ICU settings. I also worked on trustworthy AI methods at Fraunhofer IKS in Munich and as a medical statistician at Sensyne Health in Oxford. I hold a PhD in Health Data Science from University College London.