Wan Ting Ng
Papers
1
Total Citations
9
H-Index
1
About
Wan Ting Ng is a researcher advancing the field of laboratory automation, with a primary focus on optimizing liquid handling for challenging, high-viscosity biological and chemical samples. Her most-cited work, "Optimization of liquid handling parameters for viscous liquid transfers with pipetting robots, a 'sticky situation'" (2024, 9 citations), addresses a critical bottleneck in automated workflows: the accurate and reproducible transfer of viscous liquids. By applying multi-objective optimization to aspiration and dispense rates, Ng’s research provides a systematic, data-driven framework that enables pipetting robots to handle "sticky" samples—such as glycerol, cell lysates, or polymer solutions—with precision previously unattainable. This contribution directly impacts high-throughput screening, drug discovery, and synthetic biology, where even minor volumetric errors can compromise experimental outcomes. Though early in her career, Ng’s work has already been recognized for its practical utility, offering a simple yet powerful solution that reduces waste, improves reproducibility, and expands the capabilities of automated liquid handlers. Her research bridges the gap between robotics engineering and wet-lab biology, making her a rising voice in the automation community.
Research Focus
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Top Papers
- 1