I am a PhD student in the Department of Earth Sciences at the University of Oxford, developing probabilistic methods to improve uncertainty quantification in geophysics. My PhD is funded by the Oxford‑NERC DTP in Environmental Research. I hold a Master's in Physics from the University of Birmingham. Alongside my studies at Birmingham, I completed internships in quantum computing at D‑Wave Systems (Burnaby, Canada) and Riverlane (Cambridge, UK).
I currently work at the intersection of geophysics, data science and machine learning, developing methods for uncertainty quantification, and building open‑source software for environmental applications.
I develop probabilistic methods to improve uncertainty quantification in geophysics—in particular relating to estimates of seismic wave speeds in the Earth (seismic velocity models). My core contribution is a Gaussian process-based approach for the probabilistic fusion of overlapping geospatial datasets. I am applying this method in earthquake ground motion prediction to account for inconsistencies between existing seismic velocity models, as well as in other geophysical problems of interest. Through the development of open-source software, I aim to make these methods broadly accessible and applicable to spatial datasets across the geosciences.
I am interested in applying physics-based computational, data science, and machine learning methods to tackle challenges across geoscience, aerospace, sustainability, and emerging technologies. My experience spans from algorithm development in quantum computing systems at D-Wave Systems and Riverlane to uncertainty quantification in Earth systems, giving me a unique perspective on computational approaches to complex physical problems. I am particularly drawn to research opportunities that combine rigorous scientific methodology with practical applications in areas such as environmental modelling, aerospace engineering and space systems, sustainable energy systems, and other scientifically impactful domains. I aim to contribute to interdisciplinary teams working on problems with tangible societal impact.
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Sam is a PhD student in the Department of Earth Sciences at the University of Oxford, developing probabilistic methods for uncertainty quantification in geophysics. He holds a Master's in Physics from the University of Birmingham and has gained industry experience through internships in quantum computing at D-Wave Systems (Canada) and Riverlane (UK). His research focuses on Gaussian process-based approaches for probabilistic fusion of geospatial datasets, with applications to earthquake ground motion prediction and seismic hazard assessment.