David Gasperino

Papers

Total Citations

H-Index

About

David Gasperino is a researcher specializing in point-of-care diagnostics and laboratory automation, with a particular focus on lateral flow assay (LFA) technology. His work sits at the intersection of biomedical engineering and intelligent systems, addressing a critical challenge in diagnostics: making the development and optimization of rapid tests faster, more efficient, and more accessible. Gasperino's most recognized contribution is the development of automated robotic systems designed to streamline lateral flow assay development. His 2022 paper on an automated liquid handling robot for rapid LFA development has garnered 22 citations, reflecting meaningful engagement from the diagnostics research community. His earlier 2019 work, which introduced an integrated system combining design of experiment software with robotic liquid handling hardware, further demonstrated his commitment to bridging computational and physical tools for assay optimization. Given that LFAs are among the most widely deployed diagnostic tools in resource-limited settings — used for everything from pregnancy detection to infectious disease screening — Gasperino's contributions carry real-world significance. By reducing the time and complexity involved in LFA development, his work helps accelerate the path from concept to deployable diagnostic tool, ultimately benefiting global health outcomes.