Prof Dr Daniel Baumhoer is the BRCCH-affiliated Professor in Bone and Soft Tissue Pathology. He is also a consultant pathologist with special expertise in bone and soft tissue, as well as head and neck pathology. At the University Hospital in Basel, he leads the Bone Tumour Reference Centre and the DÖSAK Reference Registry through which he receives 800-1000 consultation cases a year, mostly from Switzerland and Germany but also from other countries. Prof Baumhoer contributed to several fascicles of the WHO classification of tumours as the responsible first author and contributed to more than 200 peer-reviewed publications. His research focuses on elucidating the molecular pathogenesis of bone and soft tissue tumours, with a particular focus on methylation classifiers.
Category: BRCCH Professor
Prof Dr Ece Özkan Elsen
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.
Prof Dr Na Cai
Prof Dr Na Cai is the BRCCH Assistant Professor in Computational Medical Genomics. She is based at the Department of Biosystems Science and Engineering at ETH Zurich, where she investigates the genetic bases of psychiatric disorders, particularly Major Depressive Disorder (MDD). The main aim of her research is to develop new computational models to assess the risk of developing MDD based on genetic variation. In addition, she studies the impact of MDD genetic factors on other psychiatric conditions, such as attention-deficit/hyperactivity disorders, which often co-occurs with MDD during the childhood.