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Arielle’s expertise is built at the intersection of planetary science and global finance. She holds a degree in Earth Science from Imperial College London and began her career building a strong foundation in financial markets at major institutions including Deutsche Bank and Citibank. This was complemented by experience within an investment banking team focused on Initial Public Offerings, which provided direct insight into the rigorous processes of asset valuation and market creation.
" I've always been fascinated by the Earth's systems, but my time in finance showed me a different kind of system - one that decides what has value. I saw the incredible precision used to value companies for public markets, and I couldn't shake a simple question: why don't we apply the same discipline to our most critical asset, the planet? That gap is where AuraMine was born"
Siddharth is a specialist in applying advanced computational techniques to complex physical systems. His academic journey took him from a degree in Materials Science at Imperial College London to a research focus in Nuclear Materials at MIT. He specialised in Computational Modelling methods, including Machine Learning. His broad expertise allows him to translate the complex material reality of mine waste into precise predictive data models, forming the technical core of AuraMine's engine.
"My work at Imperial and MIT was about modelling complex systems to predict and validate their behaviour. AuraMine is the ultimate application of that work: modelling a viable pathway from industrial waste to a valuable, sustainable resource. It's a challenge on a planetary scale, and it's incredibly motivating to use machine learning to unlock tangible, positive change."
