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About

Elizabeth C. Stahl is a biomedical researcher whose work has been central to scaling up COVID-19 surveillance testing. Her primary research area is the development of high-throughput, non-invasive diagnostic methods for infectious disease detection, with a particular focus on saliva-based viral RNA analysis. Stahl’s major contribution is the design and validation of a robotic RNA extraction protocol specifically for SARS-CoV-2 surveillance using saliva samples. This innovation addressed a critical bottleneck in pandemic response: the need for rapid, automated processing of large sample volumes from asymptomatic populations. By eliminating the need for traditional nucleic acid purification in some direct-to-RT-qPCR approaches, her work helped streamline testing workflows, reduce costs, and increase accessibility. Her most-cited paper on this topic has garnered 18 citations, with a related protocol receiving an additional 9 citations, reflecting the practical importance of her contributions to public health infrastructure. Stahl’s research demonstrates how automation and sample optimization can transform population-level disease monitoring, making her a key figure in the operational science behind pandemic surveillance.