Marina Delfa-Lalaguna
Papers
1
Total Citations
7
H-Index
1
About
Marina Delfa-Lalaguna is a synthetic biologist whose work centers on engineering microbial cell factories, with a particular focus on *Saccharomyces cerevisiae*. Her primary research area lies in automating the Design-Build-Test-Learn (DBTL) cycle to accelerate biosynthetic pathway development. Her most notable contribution is the development of a modular, integrated protocol for automated strain construction, which directly addresses a critical bottleneck in synthetic biology: the lack of robotic integration in the Build step. This work, published in 2025 and already garnering 7 citations, provides both the workflow design and open-source code necessary for high-throughput pathway screening in yeast. By streamlining the construction of genetically modified strains, Delfa-Lalaguna’s research significantly reduces the time and labor required for metabolic engineering, enabling faster iteration and discovery. Her achievements are particularly impactful for students and researchers seeking to implement automation in their own labs, as her open-source approach democratizes access to advanced synthetic biology tools. Delfa-Lalaguna’s work positions her at the forefront of efforts to industrialize biological design, making complex genetic engineering more accessible and reproducible.
Research Focus
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Top Papers
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