Shlomi Haar is an Edmond and Lily Safra Research Fellow at the Department of Brain Sciences and a UK DRI Emerging Leader at the UK Dementia Research Institute Care Research & Technology Centre. His research interests are in human body movement, motor control, motor learning, and motor decline.
His research philosophy is bridging the gap between the insights from lab-based constrained tasks and the translational potential in real-life. To that end, he does Real-World Neuroscience – studying full-body human movement and brain activity during real-world tasks and free behaviour, using mobile brain and body imaging.
Dr Haar's research program aims for a better understanding of the effects of different treatments for Parkinson's disease (PD) on the system level (beyond improving symptoms), and specifically the neurobehavioural mechanisms of deep brain stimulation (DBS) in PD.
Shlomi has BSc and MSc in Biomedical Engineering, and PhD in Brain and Cognitive Sciences from Ben-Gurion University of the Negev, Israel. In his PhD research, he studied the Encoding of Arm Movement in the Human Brain, by running motor experiments with human subjects using fMRI.
Dr Haar first joined Imperial College London, in 2017 as a Royal Society – Kohn International Fellow with the Brain and Behaviour Lab at the Department of Bioengineering. His fellowship research, entitled "The Dynamic of Real-World Motor Skill Learning and its Neural Correlates", focused on the relationship between changes in brain and body to the learning of novel real-life complex motor skills in an attempt to uncover what makes some of us better learners.
During the first few months of the COVID19 pandemic, Shlomi led data science the COVID-ICU National Service Evaluation.
In 2020, Dr Haar started his current position as an Edmond and Lily Safra Research Fellow at the UK Dementia Research Institute Care Research & Technology Centre and the Department of Brain Sciences.
Haar Millo S, van Assel C, Faisal A, 2020, Motor learning in real-world pool billiards, Scientific Reports, Vol:10, ISSN:2045-2322, Pages:1-13
Haar S, Donchin O, 2020, A revised computational neuroanatomy for motor control, Journal of Cognitive Neuroscience, Vol:32, ISSN:0898-929X, Pages:1823-1836
Haar Millo S, Faisal A, 2020, Brain activity reveals multiple motor-learning mechanisms in a real-world task, Frontiers in Human Neuroscience, Vol:14, ISSN:1662-5161
et al., 2017, Effector-invariant movement encoding in the human motor system, Journal of Neuroscience, Vol:37, ISSN:0270-6474, Pages:9054-9063