William Xu
PhD candidate Stanford University
William Xu is a PhD Candidate in Materials Science & Engineering at Stanford University. He is a member of the Mineral-X research group, which has a broad focus on applying data science and AI to make critical mineral supply chains more resilient and sustainable in collaboration with industry partners. In his research, William has developed a general computational framework for using AI to optimize mineral processing operations under uncertainty. He is working to apply this framework to improve phosphate feedstock blending in Morocco and copper flotation circuit design in Zambia. He holds an MPhil in Micro- & Nanotechnology Enterprise from the University of Cambridge and a BS in Applied & Engineering Physics from Cornell University.
2026 Agenda Sessions
AI-based optimisation of exploration, mining and mineral processing
This conversation begins with a look at AI-based prospect generation, where algorithms are now capable of synthesising geological data with economic viability, environmental constraints, and social impact models to identify targets that are not only rich in minerals but also feasible and responsible to develop.
Wednesday 11 February 16:10 - 17:10 Nubian Pyramids Stage (CTICC2 - Ground Floor - Exhibition Hall)
Disruptive technologies
This conversation begins with a look at AI-based prospect generation, where algorithms are now capable of synthesising geological data with economic viability, environmental constraints, and social impact models to identify targets that are not only rich in minerals but also feasible and responsible to develop.
Nubian Pyramids Stage (CTICC2 - Ground Floor - Exhibition Hall) Africa/Johannesburg








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