Ellie-May Oldfield

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About

Ellie-May Oldfield is a pioneering researcher in the field of palaeoproteomics and archaeological science, with a focused expertise in high-throughput species identification of ancient remains. Her key research areas include the integration of robotics into Zooarchaeology by Mass Spectrometry (ZooMS), automated sample processing, and the molecular analysis of fragmentary palaeontological and archaeofaunal assemblages. Oldfield’s major contribution is the development and validation of AutoZooMS, a groundbreaking robotic workflow that dramatically accelerates the species identification of otherwise unidentifiable bone fragments. This innovation, demonstrated at the iconic Grotte Mandrin site in France, addresses a critical bottleneck in palaeontology and archaeology, enabling the analysis of thousands of specimens that were previously underutilized. Her work has already garnered significant attention, with her 2024 paper receiving 5 citations and her 2023 paper accumulating 2 citations in a short period, reflecting the immediate impact of her methodological advances. Oldfield’s achievements are notable for bridging robotics and molecular biology, offering a scalable solution for large-scale biodiversity studies and human evolution research. Her research empowers scientists to unlock hidden data from fragmentary remains, transforming our understanding of past ecosystems and human activities.