Shweta Gopaulakrishnan
Papers
2
Total Citations
12
H-Index
2
About
Shweta Gopaulakrishnan is a synthetic biologist whose work sits at the intersection of automation, reproducibility, and cellular engineering. Her primary research focuses on developing high-throughput experimental frameworks to accelerate the design and assessment of biological logic circuits, particularly in yeast (*Saccharomyces cerevisiae*). Her most notable contributions stem from a landmark replication study of yeast-based logic gate performance, where she pioneered a highly-automated framework developed under DARPA’s Synergistic Discovery and Design program. This work systematically validated the reproducibility of engineered genetic circuits—a critical step for moving synthetic biology from lab-scale proofs-of-concept toward robust, real-world applications. By demonstrating that complex circuit assessments could be replicated at scale with minimal human intervention, Gopaulakrishnan’s research has directly addressed the “reproducibility crisis” in biological engineering. Her two most-cited papers, published in 2022, have collectively garnered over a dozen citations, reflecting the community’s interest in automated, data-driven approaches to synthetic biology. For students and researchers, her work exemplifies how automation and rigorous replication can transform biological design into a more predictable, engineering-like discipline.
Research Focus
Key Achievements
Top Papers
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