Expertise
Dr Haar studies the neurobehavioural mechanisms of human movement in health and disease: motor control, motor learning, motor decline, and their neural correlates. He is leading interdisciplinary research, using novel sensors, and developing novel data science approaches to enable Real-World Motor Neuroscience – studying body movement and brain activity during free behaviour and real-world tasks.
His research programme focuses on improving our understanding of the neural network of human motor control and the effects of neurodegeneration on it, predominantly in Parkinson’s disease. His research programme aims to improve disease progression and symptom fluctuation tracking in neurodegeneration to enable better care and robust outcome measurements for clinical trials in new disease-modifying interventions. Of specific interest is a better understanding of the neurobehavioural mechanisms of Deep Brain Stimulation (DBS) for Parkinson's disease. This would enable better treatment delivery and leverage smart sensing and AI toward personalised medicine using adaptive closed-loop therapies.