Sara Faghih-Naini is a computer scientist working in the Research Department at the European Centre for Medium-Range Weather Forecasts (ECMWF). She holds a PhD in Applied Mathematics from the University of Bayreuth, where her research focused on discontinuous Galerkin methods and high-performance computing (HPC) approaches for ocean simulations. She works at the intersection of HPC, applied mathematics, data science, and Earth system applications, contributing to projects aimed at improving the performance, scalability, and usability of complex scientific models and data workflows. Her work supports the development of the next-generation performance-portable numerical model PMAP, including the GT4Py domain-specific library. Additionally, she is involved in advancing data compression techniques for operational weather and climate modelling.