I’m a rock and geophysicist at the University of Oxford. My research seeks to further understand how the Hawaiian islands and the Hawaiian-Emperor seamount chain flex the Earth upon which they sit. I have an avid interest in the theoretical modelling of porous rocks’ upscaled elastic and electrical properties; especially rocks which undergo significant diagenesis, such as carbonates. I also focus on the theoretical modelling which ties multiple physical properties of composite materials together, for example, the relationship between a composite’s electrical conductivity and its elastic moduli.
I’m a predictive modeller and analyst, both theoretically and in application. I have experience in applying data science and machine learning techniques in the fields of geophysics and geochemistry. I have industry and academic experience in land and marine seismic data processing, model building, and imaging, as well as well log analysis and multicomponent vertical seismic profile (VSP) inversion for subterranean seismic anisotropy and fracture characterisation. As a predictive modeller, I have an interest in stochastic inversion algorithms and neural networks, and their application to challenging inverse problems in geophysics and rock physics. I also have field geophysics experience, both offshore and onshore.
I have a BSc with Honours in Applied Mathematics from the University of Western Australia, a GradCert in Business from Southern Cross University, and a PhD in Geology and Geophysics, with my thesis entitled “Rock Physics Theory and Analysis for Fractured Carbonate Reservoirs”, from the University of Edinburgh.
I believe my interest in the mathematical modelling of a composite materials’s physical properties lends itself well to cross-disciplinary research. If you agree and have similar or complimentary research interests, please get in touch!