Professor Daniel Mark Wolpert FMedSci FRS
Professor of Engineering, Department of Engineering, University of Cambridge
Daniel Wolpert is a world leader in the computational study of sensorimotor control and learning, transforming our understanding of how the brain controls movement. Combining theoretical and behavioural work, he has placed the field of sensorimotor control firmly within the probabilistic domain and shown how neural noise plays a pivotal role in determining both how we process information during action and how we generate actions. His empirical discoveries and theoretical work on internal models have shown how ubiquitous they are for a range of core processes from motor learning, through sensory processing to social cognition; and how disorders of internal models can lead to neuropsychological disorders.