Björn Eskofier

Björn Eskofier is a Principal Investigator for the Translational Digital Health Group at AI for Health and leads the research group at Helmholtz Zentrum Munich. He is Professor at Friedrich-Alexander-University Erlangen-Nuremberg (FAU), where he founded the Machine Learning and Data Analytics (MaD) Lab in 2013 and established the Department of Artificial Intelligence in Biomedical Engineering (AIBE).

• Education: PhD in Biomechanics (University of Calgary, 2006-2013), MSc in Electrical Engineering (FAU, 2006).

His research focuses on building a Digital Health Ecosystem through multidisciplinary collaboration, emphasizing Machine Learning, Data Analytics, Biomechanics, and AI-driven clinical translation. Recent publications highlight his work in federated health data systems, predictive disease modeling, and digital symptom monitoring.

He is an active academic leader, serving as Area Editor for IEEE journals, General Chair of BHI 2023, and co-director of the EmpkinS initiative. His awards include the Unipreneurs award (2023), multiple best paper prizes, and recognition as a Heisenberg Professor (DFG, 2017-2022).