Sarah J. Shepherd
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1
Total Citations
3
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About
Sarah J. Shepherd is pioneering the high-throughput engineering of lipid nanoparticles (LNPs) for next-generation therapeutics. Her research centers on the intersection of microfluidics, combinatorial chemistry, and nanomedicine, with a primary focus on automating the design and synthesis of precisely defined LNP libraries. Shepherd’s most-cited work, "Automated and Parallelized Microfluidic Generation of Large and Precisely Defined Lipid Nanoparticle Libraries" (2025), introduces a transformative platform that enables the rapid, parallelized formulation of LNPs by systematically varying lipid structures and their relative proportions. This innovation addresses a critical bottleneck in nanomedicine: the slow, manual optimization of LNP compositions for drug and gene delivery. By integrating automated microfluidics with combinatorial lipid synthesis, her approach accelerates the discovery of potent, cell-specific LNPs, directly impacting the development of mRNA vaccines, CRISPR therapies, and targeted cancer treatments. Although early in her career, Shepherd’s work has already garnered attention for its potential to democratize LNP screening, reducing the time from lipid design to in vivo testing from months to days. Her contributions are poised to reshape how researchers engineer nanocarriers, making personalized nanomedicine a more tangible reality.
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