Sandro Fiore, Ph.D., Associate Professor at the Department of Information Engineering and Computer Science (DISI) of the University of Trento and lecturer at the School of Innovation (Trento).
He leads the High Performance Climate Informatics Laboratory at DISI. His research activity focuses on scientific data management, workflows, provenance and artificial intelligence applied to climate change in in extreme-scale HPC, distributed and cloud environments. He teaches Software Engineering and High Performance Computing at the DISI Department of the University of Trento; as lecturer at the School of Innovation he teaches courses on Data Science, Data Governance, Business Analytics and AgenticAI for Science, Policy and Innovation.
He has been Visiting Scientist at Lawrence Livermore National Lab (2011-2013) working in the context of the Earth System Grid Federation and at the University of Chicago (CS Dept, 2019) working on provenance and computational reproducibility.
He has authored more than 100 scientific publications and is the editor of Grid and Cloud Database Management and co-author of The International Exascale Software Project Roadmap. He is a member of ACM and IEEE.