Head of the Intelligent Embedded Systems Lab (IES Lab Freiburg)
Research interests include wearable computing, digital health, machine learning, mobile health, biomedical engineering, and extended realities
Integrates laboratory, wearable, and ambient data to develop ML algorithms for patient data interpretation and health knowledge extraction
Research spans time series analysis, dynamic adaptive pattern modeling, integration of data-driven and expert models, and model personalization
Develops embedded ML algorithms for ultra-low-resource sensor devices
Investigates novel in-silico modeling and simulation methods for wearable and implantable sensor/actuator systems
Prototypes wearable and implantable systems using innovative functional materials and additive manufacturing, as well as DiGA prototypes for mobile platforms