Papers
3
Total Citations
427
H-Index
3
About
Ho-Jun Suk is a pioneering researcher at the intersection of robotics, neuroscience, and synthetic biology, best known for developing automated platforms that accelerate the engineering of molecular tools for neural recording. His most impactful work, a 2018 study with 347 citations, introduced a robotic multidimensional directed evolution approach to create improved fluorescent voltage reporters—proteins that light up in response to neuronal electrical activity. This high-throughput method dramatically speeds up the otherwise laborious process of optimizing these sensors for better brightness, kinetics, and voltage sensitivity. Suk also contributed to a 2017 paper (65 citations) that described a closed-loop real-time imaging system enabling fully automated, cell-targeted patch-clamp neural recording in living animals, a technical feat that enhances the precision and throughput of electrophysiology. By merging robotics with molecular evolution and imaging, Suk’s innovations provide powerful new tools for studying neural circuits, with direct applications in connectomics and brain-machine interfaces. His work exemplifies how automation can transform biological discovery, making complex experiments more accessible and reproducible.
Research Focus
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