Dr. Sofia Samoili is a researcher specialising in machine learning, with a focus on statistical and probabilistic modelling of structured and unstructured big data, natural language processing, and data mining. Her research has been applied across various domains, including transportation, the digital economy, and environmental science, to support policy-making and advance environmental sustainability. She holds a Ph.D. from École Polytechnique Fédérale de Lausanne (CH), where she established a solid foundation in dynamic stochastic modelling and optimisation to enhance active traffic management systems, and achieved improvements in flow and safety in complex environments. She contributed to international and federal projects, and her work combined with teaching specialised courses, honed her analytical and pedagogical skills while demonstrating her dedication to research and education. At the European Commission's Joint Research Centre (JRC), Dr. Samoili developed machine learning algorithms and text mining to analyse big data, mapping technological subdomains, particularly in AI and robotics. Her research has identified technological trends, assessed technology diffusion, and explored impacts on employment and digital skills. This work supported strategic decision-making, providing actionable insights for policy-making. In parallel, she contributed to knowledge transfer through modelling and meta-analysis to address multi-faceted challenges in environmental toxicology and water treatment. Dr. Samoili has co-authored over 60 publications, including scientific articles, policy briefs, and white papers, and has an h-index of 12 (2024). Making significant contributions to both academia and policy, she brings her expertise to collaborations with public, private, and international organisations, providing data-driven solutions for global challenges in mobility, sustainability, and technological innovation.