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Alberto Diez Oliván obtained a Computer Science Engineering degree at Universidad del País Vasco (UPV–EHU) in 2006 and a Master of Science in Computer Sciences and Artificial Intelligence in 2009 by the same University. He received his Ph.D. degree in Robotics and Automation from the Universidad Politécnica de Madrid (ETSII-UPM) in 2017, being his thesis related to machine learning methods and applications for data-driven prognostics. He entered Fatronik with Iñaki Goenaga Research Fellowship in 2006 and in 2015 he did an internship of 6 months at the NICTA’s machine learning research group (Sydney, Australia). Nowadays he works as an experienced data scientist in the TECNALIA’s Industry & Transport Division. He has been involved in the design and development of intelligent applications in several important projects, both public-funded R&D at European and National level and with industrial customers, targeting important sectors such as maritime, renewable energy, railway, agro-food, civil structures and machine-tool.