Daniel Sousa Schulman

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About

Daniel Sousa Schulman is a pioneering researcher at the intersection of robotics and neuroscience, specializing in the development of automated surgical tools for cranial microsurgery. His major contributions center on the design and validation of Craniobot, a computer numerical controlled (CNC) robot that enables precise, sub-millimeter cranial access for brain interfacing procedures. Schulman’s work addresses a critical bottleneck in neuroscience: the need for reproducible, minimally invasive skull removal to implant devices such as electrodes or optical fibers. His landmark 2019 paper on Craniobot has garnered 50 citations, reflecting its impact as a transformative tool for preclinical research. He further advanced the field with a detailed 2020 protocol paper (41 citations) that provides open-source instructions for assembling and operating the system, democratizing access to this technology. By combining engineering rigor with neuroscientific application, Schulman has made automated cranial surgery accessible to laboratories worldwide, reducing variability and improving outcomes in brain research. His work is notable for bridging the gap between clinical-grade precision and open-source accessibility, positioning him as a key figure in the growing field of neuro-robotics.