Dana Gretton

Papers

Total Citations

142

H-Index

About

Dana Gretton is a pioneer at the intersection of synthetic biology and laboratory automation, dedicated to democratizing high-throughput experimentation. Her research focuses on developing flexible, open-source robotic platforms that transcend traditional liquid-handling limitations, enabling complex biological protocols to be executed with unprecedented scalability. Gretton’s major contributions include the creation of software and hardware systems that allow researchers to program robots for advanced maneuvers—such as culture maintenance and real-time monitoring—without requiring deep engineering expertise. Her landmark 2021 paper, "Enabling high‐throughput biology with flexible open‐source automation," has garnered 68 citations, reflecting its impact on making sophisticated automation accessible to labs worldwide. Additionally, her work on "Systematic molecular evolution enables robust biomolecule discovery" (64 citations) and "A high-throughput platform for feedback-controlled directed evolution" showcases her role in accelerating protein engineering through continuous, automated evolution cycles. Notably, Gretton’s open-source approach has empowered a broader scientific community to perform feedback-controlled directed evolution, reducing reagent waste and manual intervention. Her achievements are reshaping how biologists design and execute experiments, moving from manual, low-throughput workflows toward a future of autonomous, data-rich discovery.