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About

Florian Grimm is a neuroscientist and neurosurgeon whose research bridges two distinct but complementary domains: brain-machine interfaces for neurorehabilitation and robot-assisted stereotactic neurosurgery. His early work demonstrated that reinforcement learning of sensorimotor β-oscillations can meaningfully improve motor performance (82 citations), while his investigations into hybrid neuroprosthetics — combining brain-controlled neuromuscular stimulation with robotic exoskeletons — helped advance upper-limb rehabilitation strategies for neurologically impaired patients (68 citations). These contributions established Grimm as a notable voice in translational neurotechnology. His surgical research has been equally impactful. A pioneering feasibility study on head-mounted robotic brain biopsies (50 citations) challenged the dominance of traditional frame-based stereotaxy, opening conversations about patient comfort and procedural flexibility. Subsequent work has refined robot-assisted stereoelectroencephalography (SEEG) for complex epilepsy evaluations, including challenging insular approaches, and has rigorously examined registration accuracy, learning curves, and long-term clinical outcomes across a decade of robotic neurosurgery experience. Collectively, Grimm's portfolio reflects a commitment to translating emerging technologies — from neural interfaces to surgical robotics — into safer, more effective clinical practice, making his work essential reading for students at the intersection of neuroscience, engineering, and surgical innovation.