Tomás Urdiales

Tomás Urdiales is a Data Scientist at Elia Group since January 2023, where contributions include the development and deployment of a machine learning system for dynamic sizing and procurement of Frequency Restoration Reserve needs, achieving cost reductions, and creating deep learning models to detect grid infrastructure damage. Urdiales gained initial experience as a Data Scientist intern at Elia Group following a first-place award at the 2022 Hackathon in Berlin, and conducted a master's thesis on grid system imbalance forecasting. Prior roles include a Visiting Researcher at the University of Oxford and a Data Science Intern at Universitat Politècnica de Catalunya, focusing on COVID-19 analytics for the European Commission. Urdiales holds multiple degrees in Sustainable Energy Systems Engineering from KTH Royal Institute of Technology and Eindhoven University of Technology, as well as a degree in Management, Innovation & Entrepreneurship from Esade and a Bachelor's in Engineering Physics from Universitat Politècnica de Catalunya.