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Biography

Professional biography

I’m an organic geochemist in the School of Environment, Earth and Ecosystem Sciences in the STEM faculty at the Open University. My research focusses on past climate and environmental reconstruction using geologic biomarkers, and looking at how their carbon isotopic composition can be used to reconstruct atmospheric CO2 levels through geologic time. For my current project, I’m using the alkenone δ13C proxy to look at past CO2 and climate sensitivity in the Plio-Pleistocene as part of the NERC standard grant “Accurate and Precise Alkenone Records of Atmospheric CO2 for the Pliocene and beyond to Inform the Future

I use hyphenated gas chromatographic systems (GC-FID, GC-MS, GC-C-IRMS) to look at the chemical and isotopic composition of lipids preserved in the geologic record to reconstruct temperature (alkenones and GDGTs), CO2 concentration (alkenones) and plant-environment response (n-alkyl lipids).

Prior to this, I worked on a PhD at the University of Birmingham looking at how elevated CO2 levels influence the composition of plant biomarkers, and what plant/CO2 response can tell us about terrestrial ecosystems through geologic time. I’m interested in the interactions between organisms and the environment on evolutionary timescales: the messy and intricate ways with which biology responds to changes in climate, and what understanding those mechanisms can do for our understanding of past climate systems.

Projects

A biomarker-based reconstruction of the Greenland Ice Sheet’s history

This project examines the terrestrial, sea ice and freshwater-release history of the Greenland Ice Sheet (GIS) between 8 and 2.7 million years ago, using biomarkers (molecular fossils). By using plant biomarkers it will reconstruct terrestrial GIS history and provide precise timings of the presence of ice on land and its impacts on ancient ecosystems. By examining sea ice and freshwater release, it will characterise the GIS’s marine impact through time. These records will characterise aspects of the GIS’s behaviour that most influence global climate, allowing prediction of the consequences of GIS melt due to anthropogenic climate change.