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Benjamin H. Brinkmann is a leading figure in computational epilepsy research and neuroengineering, with a focus on developing practical, data-driven approaches to intracranial electroencephalography (EEG). His most-cited work, "A Practical Approach to Stereo EEG" (2020, 17 citations), provides a foundational methodology for stereo-electroencephalography (SEEG), a minimally invasive technique critical for localizing epileptic foci in drug-resistant epilepsy. This contribution has streamlined clinical workflows and enhanced the accuracy of seizure onset zone identification, directly impacting surgical planning and patient outcomes. Beyond this landmark paper, Brinkmann’s research spans machine learning for seizure prediction, signal processing, and the integration of advanced analytics into clinical neurophysiology. His work bridges the gap between engineering innovation and bedside application, earning recognition for its translational impact. With a citation profile reflecting growing influence in the field, Brinkmann continues to shape how neurologists and neurosurgeons leverage electrophysiological data to improve epilepsy diagnosis and treatment.