When Nathan Hyman joined Translucence Biosystems as an undergraduate intern at the University of Michigan, he had no prior laboratory experience. Yet within months, Hyman was generating publication-quality 3D anatomical data that would later be featured at the 2024 Society for Neuroscience meeting. The following article describes how Hyman leveraged iDISCO-based tissue clearing methods, light sheet imaging, and Al-powered whole-brain object segmentation, to generate regionalized data across hundreds of brain regions.