Dr Shlomi Haar
Academic and research departments
School of Psychology, Brain Research and Interdisciplinary Neuroscience (BRAIN) Section.About
Biography
In Summer 2025, I moved to the University of Surrey as a Senior Lecturer in Cognitive Neuroscience. Here is a short bio:
- I studied Biomedical Engineering (BSc & MSc in a direct track) at Ben-Gurion University of the Negev.
- I received my PhD in Brain and Cognitive Sciences from Ben-Gurion University of the Negev.
- In 2017 I joined Imperial College London, as a Royal Society – Kohn International Fellow with the Brain and Behaviour Lab at the Department of Bioengineering.
- In November 2020, I moved to the Department of Brain Science to start my own group as an Edmond and Lily Safra Research Fellow.
- In 2021, I became an Emerging Leader at the UK DRI Care Research and Technology Centre
News
MEDIA
ResearchResearch interests
I study the neurobehavioural mechanisms of human movement in health and disease: motor control, motor learning, motor decline, and their neural correlates. I'm leading interdisciplinary research between engineering and neuroscience, 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.
My 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. My 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.
Research interests
I study the neurobehavioural mechanisms of human movement in health and disease: motor control, motor learning, motor decline, and their neural correlates. I'm leading interdisciplinary research between engineering and neuroscience, 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.
My 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. My 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.