Patrick is a data scientist with a research focus on deriving actionable insight from large and complex healthcare data. He is particularly interested in creating and evaluating clinical decision support tools that readily translate into clinical practice and help doctors make informed decisions. Currently, Patrick is working on the Austrian Digital Heart Program, which validates the efficacy of app-based screening for atrial fibrillation.

Patrick received an MSc and PhD in Health Data Science from University College London. Following his PhD, Patrick was awarded a postdoctoral fellowship by the Alexander von Humboldt-Foundation to work on generalizable deep learning for medical risk prediction at Charité – Universitätsmedizin Berlin. Before coming to Innsbruck, Patrick spent some time as a senior researcher at Fraunhofer in Munich where he worked on statistical methods for handling the high levels of missing data often found in routine medical data.