Prof Dr Ece Özkan Elsen is the BRCCH Assistant Professor in Pediatric Digital Health Data Analysis. She is based at the Department of Biomedical Engineering of the University of Basel, where she develops machine learning methods that are easy to interpret, fair, and generalizable for paediatric care.

Her research focuses on computational models that integrate medical images, clinical data, and additional modalities such as physiological signals to support clinicians in the diagnosis and management of paediatric diseases. Specifically, she aims to tackle the main challenges affecting the performance of machine learning models, including data scarcity, variability across datasets from different sources and algorithmic bias. By integrating multi-modal datasets and drawing inspiration from human behaviour, she will develop interpretable artificial intelligence-driven healthcare solutions that will contribute to advance precision medicine for children and adolescents.