Jörn Diedrichsen is a Professor in Computational Neuroscience at Western University, leading the Diedrichsen Lab and co-directing the Sensorimotor Superlab collaboration with Andrew Pruszynski and Paul Gribble. His research focuses on understanding motor control, cerebellar function, and applying data science techniques to neuroimaging and electrophysiological data. He holds graduate degrees in Neuroscience and Statistics from UC Berkeley and is a key figure in Western’s Data Science initiatives. Research Interests: Motor learning, cerebellum structure and function, neuroimaging analysis, statistical methods, and sensorimotor integration. The lab develops tools for cerebellar imaging and multivariate analysis, addressing questions like how the brain coordinates movements and learns new skills. Recent Articles: Recent work includes studies on muscle activity learning paradigms, cortical sequence planning areas, and cerebellar growth models. These contributions highlight advancements in understanding motor skill optimization, neural dynamics during movement, and developmental cerebellar changes. Awards: His lab’s trainees (Caroline Nettekoven, Diego Piza, Hayley Shanks) received the 2024 CAN-CIHR-INMHA Brain Star Award. He leads projects like the Raynor Cerebellar Growth Chart and collaborates on grants from CIHR, NSERC, and BrainsCAN. Advising & Grants: Supervises MSc/PhD students in Neuroscience, Computer Science, and Statistics. Current funding supports studies on motor control, cerebellar imaging, and neurodevelopmental models. Open positions emphasize interdisciplinary research in machine learning for health sciences. Labs & Teams: The Diedrichsen Lab and Sensorimotor Superlab foster collaborations across disciplines, with ongoing projects on cerebellar exclusion in research and tool-based sensory remapping. The lab actively promotes open science and methodological innovation in neuroscience.










