Trained as a physicist, Eibar works at the intersection between energy technology and data science. His research focuses on applying digital technologies, data analytics, and machine learning to advance battery technologies and support industrial decision-making.
Education
MSc. in Materials Science and Engineering, Universite de Picardie Jules Verne (France)
Dr. sc. in Applied Chemistry, ETH Zurich (Switzerland)
Competence and research areas
Batteries, electrochemistry, materials science, data science, machine learning, physical modelling, semantic technologies
Linkedin
https://www.linkedin.com/in/eibar-flores-100190/
ORCID
https://orcid.org/0000-0003-2954-1233
