Dr. Sarah Perez is a Postdoctoral Research Associate in the GeoEnergy research group at the Lyell Centre. Trained as a mathematician, she holds a PhD in Applied Mathematics from the University of Pau in France, where she developed numerical and machine learning models to investigate reactive processes and fluid-rock interactions in porous media relevant to geological carbon storage.

Her expertise lies at the intersection of mathematical modelling, numerical simulation, and AI-driven approaches for subsurface energy applications. Her research focuses on improving the reliability of subsurface predictions by integrating pore-scale imaging with AI-based uncertainty quantification. She develops robust frameworks to capture and upscale uncertainties from the pore to the reservoir scale, particularly in fractured and reactive media. Her work bridges multiple scales and modelling approaches to better understand leakage risks and subsurface integrity in carbon storage systems.

Beyond research, Sarah is actively involved in science communication and early-career researcher initiatives. She co-chairs the InterPore Student Awards Sub-Committee, organises and chairs YouTube webinars on Porous Media research and AI for Net Zero, and contributes to international efforts supporting interdisciplinary knowledge exchange.