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Sofia Mantilla Salas

PhD candidate Stanford University

Sofia Mantilla Salas is a PhD candidate in Earth and Planetary Sciences at Stanford University, where she develops data-driven geospatial methods to advance sustainable mineral exploration and energy transition solutions. Her research integrates geoscience, data science, and risk analysis to accelerate responsible decision-making for critical resources. She has led projects on carbon capture and storage, geothermal energy assessment, and community-engaged approaches to resource development, combining quantitative modeling with participatory methods. Beyond her academic work, Sofia is active in Stanford’s entrepreneurial ecosystem as a Fellow with programs such as RAISE, OpenMinds NextGen, and LeadX. Originally from Bogotá, Colombia, Sofia is committed to leveraging science, innovation, and inclusive engagement to support equitable and climate-aligned pathways for the global energy transition.


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)

Add to calendar 02/11/2026 16:10 02/11/2026 17:10 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.

Nubian Pyramids Stage (CTICC2 - Ground Floor - Exhibition Hall) Africa/Johannesburg