Caitlin N. Cain is a postdoctoral research fellow at the University of Michigan. She is supported by the National Institutes of Health – National Research Service Award for Individual Postdoctoral Fellows. Her research specializes in the development of chemometric techniques to improve chromatographic non-targeted analyses. Previously, she earned her Ph.D. in Chemistry from the University of Washington in 2024 and B.S. degrees in Chemistry and Forensic Science from Virginia Commonwealth University in 2019. Her research efforts have been recognized by numerous accolades, including the inaugural LCGC Rising Stars of Separation Science Award. She proudly serves on the Executive Committee for the ACS SCSC (Subdivision on Chromatography and Separations Chemistry).
Researchers from the University of Michigan (Ann Arbor, Michigan) have introduced lack-of-fit (LOF), a peak-shape congruence measure that gauges the residual mismatch between candidate signals within a narrow retention window; pairs scoring below 20% are deemed degenerate and grouped together. LCGC International spoke to Caitlin Cain, lead author of the paper presenting this work, about her group’s research.
Caitlin Cain shares insights from the Lindau Nobel Laureate Meeting, exploring AI's role in chemistry, sustainability innovations, and the importance of science advocacy.
In the first LCGC Blog of 2025, Caitlin Cain of the University of Michigan highlights the divide between gas and liquid chromatographers, and why both types of techniques should be in the same conversations.
This article provides an overview of the development and current status of comparative analysis for GC×GC–TOF-MS data and how key limitations can be overcome with a novel tile-based pairwise analysis method.
