Sam Yoder

Lawrence Berkeley National Laboratory

Papers

1

Total Citations

7

H-Index

1

About

Sam Yoder is a synthetic biologist whose work is reshaping how we build and test engineered microbes. His primary research focuses on metabolic engineering and the automation of the Design-Build-Test-Learn (DBTL) cycle, particularly in the yeast *Saccharomyces cerevisiae*. Yoder’s most notable contribution is the development of a modular, integrated protocol for automated strain construction, which directly addresses a critical bottleneck in biosynthetic pathway screening. By providing the workflow design and open-source code for robotic integration, his work enables high-throughput, hands-off assembly of engineered strains—a leap forward from manual, error-prone methods. This foundational paper has already garnered 7 citations since its 2025 publication, signaling its rapid adoption by labs seeking to accelerate the Build step. Yoder’s achievement lies in translating complex automation into accessible, reproducible tools, making high-speed strain engineering more democratic for the synthetic biology community. For students and researchers, his work exemplifies how merging robotics with biology can unlock faster iteration and discovery in the quest for sustainable bioproduction.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Automated Strain Construction for Biosynthetic Pathway Screening in Yeast
7 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Lawrence Berkeley National Laboratory

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago