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Expertise Applied Machine Learning and AI for the built environment and renewable energies, Building Physics, Statistical methods, Geographic Information Systems Roberto holds an M.Sc. and a Ph.D. in Particle Physics from the University of Torino, Italy. He worked as a Research Fellow for the Belgian National Fund for Scientific Research (FNRS) and later at the CERN Experimental Physics division as a Senior Research Fellow and Data Scientist. In 2018, he joined the EPFL Solar Energy and Building Physics Laboratory (LESO-PB) as a Senior Scientist and group leader to work on data mining and Machine Learning for the built environment and renewable energy. He has started and led multiple collaborations with academic and industrial partners in the energy domain. Roberto joined the EPFL-ETHZ Swiss Data Science Center (SDSC) in September 2021 as a Principal Data Scientist, with the mission of supporting industries, the public sector, and local organizations on their data science journey. In 2025, he became the SDSC Energy and Sustainability vertical Lead, overseeing and fostering data science collaborations among the private sector, academia, and the Swiss public sector on high-relevance strategic topics in energy and sustainability.Show less
Veuillez noter qu'il ne s'agit pas d'une liste complète des publications de cette personne. Elle inclut uniquement les travaux sémantiquement pertinents. Pour une liste complète, veuillez consulter Infoscience.
Roberto Castello, Federico Amato
Jean-Louis Scartezzini, Dasaraden Mauree, Roberto Castello
Jean-Louis Scartezzini, Roberto Castello, Alina Ursula Rosa Walch