David McIntyre
Papers
3
Total Citations
27
H-Index
2
About
David McIntyre is an applied researcher working at the intersection of laboratory automation, public health infrastructure, and microfluidic systems engineering. His most recognized contributions emerged during the COVID-19 pandemic, where he played a central role in designing and deploying high-throughput CLIA-certified laboratories capable of processing large volumes of SARS-CoV-2 diagnostic tests within urban campus environments. His 2022 paper documenting this buildout has garnered 19 citations, reflecting its practical value to institutions facing similar operational challenges, while a companion 2021 overview further details the technical and logistical framework underlying these systems. Together, these works represent a meaningful contribution to pandemic response infrastructure and serve as a practical blueprint for rapid laboratory scaling under public health emergencies. Beyond diagnostics, McIntyre has also explored the frontier of microfluidics, contributing to research on machine learning-driven design automation for microfluidic devices — a promising direction that could significantly reduce development time and cost for next-generation lab-on-chip technologies. His portfolio reflects a researcher committed to translating engineering innovation into real-world biomedical and public health solutions.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Modular microfluidic design automation using machine learning2 citations · 2019