Papers
1
Total Citations
9
H-Index
1
About
Selina Qiu is a rising expert in laboratory automation and liquid handling robotics, whose work addresses a critical bottleneck in high-throughput experimentation: the accurate manipulation of viscous liquids. Her most-cited paper, "Optimization of liquid handling parameters for viscous liquid transfers with pipetting robots, a 'sticky situation'" (2024, 9 citations), pioneers a multi-objective optimization framework for aspiration and dispense rates. By systematically tuning these parameters, Qiu enables automated platforms to reliably transfer challenging fluids like glycerol solutions and polymer melts—a feat previously prone to significant volumetric error and tip retention. This contribution directly empowers fields from synthetic biology to pharmaceutical formulation, where precise, reproducible liquid handling is non-negotiable. Though early in her career, Qiu’s work has already been recognized for its practical impact, bridging the gap between robotic hardware capabilities and real-world laboratory demands. Her research not only advances the reliability of automated workflows but also lays the groundwork for more adaptive, intelligent liquid handling systems. For students and researchers navigating the complexities of lab automation, Qiu’s findings offer a clear, data-driven path to overcoming one of the most stubborn challenges in the field.
Research Focus
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Top Papers
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