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About

Jinhu Song is a structural biologist and instrumentation specialist whose research has fundamentally advanced the practice of macromolecular crystallography, particularly through innovations in automated sample handling, remote beamline access, and high-throughput data collection. Working primarily at the Stanford Synchrotron Radiation Lightsource (SSRL), Song has made lasting contributions to the infrastructure that enables modern protein structure determination. Song's most influential work, "High-density grids for efficient data collection from multiple crystals" (2015, 75 citations), introduced transformative methods for mounting and collecting data from radiation-sensitive microcrystals, directly supporting serial femtosecond crystallography at next-generation light sources. This work addressed one of the field's most pressing technical challenges. Complementing this, Song contributed to the development of the Stanford Automated Mounter system (39 citations), dramatically increasing crystal throughput at SSRL's beamlines through enhanced robotic precision. A persistent theme throughout Song's career is democratizing access to crystallographic infrastructure. Beginning as early as 2005, Song helped pioneer fully remote beamline access at SSRL, enabling researchers worldwide to conduct experiments without traveling to the facility — a vision now standard across synchrotrons globally. More recently, Song's microfluidic crystallography work (2021) demonstrates continued innovation in room-temperature screening methodologies, further expanding accessibility for drug discovery applications.