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About

Renan H. Matsuda is a biomedical engineer and neuroscience researcher specializing in the development of advanced platforms for transcranial magnetic stimulation (TMS), with a particular focus on robotics, automation, and precision brain stimulation technologies. His work sits at the intersection of neural engineering, robotics, and non-invasive brain stimulation, where he has made significant contributions to improving the accuracy, safety, and efficiency of cortical targeting methods. Matsuda's most influential contribution is his development of robotic-electronic platforms for autonomous TMS targeting, most notably in the context of multi-locus TMS (mTMS), a technique that enables precise electronic control of stimulation sites without requiring physical coil repositioning. His 2024 paper on this system has already garnered 20 citations, reflecting rapid recognition within the field. He has also championed open-source approaches to robotized TMS, lowering barriers for researchers worldwide, and has explored Bayesian optimization as a data-driven method for smarter stimulation targeting. Collectively, his publications demonstrate a sustained commitment to making brain stimulation more reproducible and clinically viable, positioning him as an emerging leader in next-generation neurostimulation instrumentation.