Research

My general research interests are strongly interdisciplinary and extend to the area of machine learning, learning for control, decision-making systems, automatic control and artificial intelligence.

Research topics include learning and adaptation-based control strategies for drug delivery, digital biomarker discovery, monitoring of physiological variables by means of wearable devices, machine learning in neural engineering, data-driven and fault-tolerant control of unknown cyber physical systems and autonomous flying drones.

Medically inspired Internet-of-Things for glucose regulation
Dynamic feedback control of sympathetic arousal