Max Robotics — Global Service Robot Directory + US Certification

About

Dr. Yongfang Yao is a leading researcher in radiation biodosimetry, specializing in the development of high-throughput automation systems for mass casualty triage following radiological or nuclear events. Her major contributions center on the design and validation of the Rapid Automated Biodosimetry Tool (RABiT), a dedicated robotic platform that automates cytogenetics-based biodosimetry assays. Dr. Yao has been instrumental in advancing the γ-H2AX assay—a sensitive immunofluorescence method for quantifying DNA double-strand breaks—by adapting it for automated processing in human lymphocytes, a technique that remains highly cited (77 citations). Her work addresses the critical need for rapid, minimally invasive triage tools, with key publications detailing design considerations, robotic manipulation failure recognition, and system validation. The RABiT project, summarized in her 2016 review (28 citations), represents a decade of innovation aimed at enabling the assessment of thousands of individuals in emergency scenarios. Dr. Yao’s research bridges robotics, assay automation, and radiation biology, establishing foundational technologies for modern biodosimetry and enhancing preparedness for large-scale radiological threats.