Claire M. Eberle
Papers
1
Total Citations
2
H-Index
1
About
Claire M. Eberle is a rising leader in the field of automated chemical synthesis and high-throughput reaction optimization. Her research focuses on integrating robotics, mass spectrometry, and machine learning to dramatically accelerate the discovery and refinement of chemical reactions. Eberle’s most notable contribution is the development of **RAVE MS** (Robotically Automated Vacuum Enabled Direct-Inject Mass Spectrometry), a pioneering platform that pairs low-cost mass spectrometer and autosampler hardware with continuous sample injection. This system achieves a remarkable sampling rate of approximately 12 seconds per sample, delivering results comparable to commercial direct-inject systems while drastically reducing cost and time. Her work, published in 2025 and already garnering 2 citations, is poised to transform how chemists approach cross-modality reaction optimization—enabling rapid, data-rich experimentation that was previously impractical. Eberle’s innovations stand at the intersection of chemistry and automation, promising to democratize high-throughput analysis and accelerate the pace of synthetic discovery. Her efforts are paving the way for more efficient, accessible, and intelligent laboratory workflows.
Research Focus
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Top Papers
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