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Nikita Pak is a pioneering researcher at the intersection of robotics, neuroscience, and synthetic biology. Their most influential work centers on developing automated tools to accelerate biological discovery, particularly in neurotechnology. Pak’s landmark 2018 paper, “A robotic multidimensional directed evolution approach applied to fluorescent voltage reporters,” has garnered 347 citations, introducing a high-throughput robotic platform that dramatically speeds up the engineering of improved fluorescent voltage sensors for imaging neural activity. This work enables the directed evolution of proteins across multiple dimensions simultaneously, a breakthrough for optogenetics and functional imaging. Earlier, Pak developed “Closed-loop, ultraprecise, automated craniotomies” (2015, 45 citations), a robotic system that performs skull openings with micron-level precision, minimizing tissue damage for techniques like electrophysiology and two-photon imaging. This innovation makes complex neurosurgical procedures reproducible and accessible. Pak’s research exemplifies how robotic automation can solve fundamental challenges in biology, from protein engineering to surgical precision. Their contributions are shaping the future of automated experimental design and high-throughput neuroscience, with significant implications for both basic research and clinical applications.