Sandro Luigi Fiore

Sandro Luigi Fiore is an Associate Professor in the Department of Information Engineering and Computer Science at the University of Trento, Italy. He has held academic positions at the University of Salento and visiting scientist roles at the University of Chicago and Lawrence Livermore National Laboratory. His research integrates data science, big data, and high-performance computing with climate informatics and open science.

Education:

• Ph.D. in Innovative Materials and Technologies, University of Lecce, 2004
• Master of Science in Computer Engineering (with honors), University of Lecce, 2001

His research interests span Data Science, Big Data, Scientific Data Management, Artificial Intelligence, and Distributed/Cloud/Parallel Computing, with a strong application focus on Climate Change and Open Science. He develops FAIR-enabled data analytics solutions and contributes to large-scale data infrastructures such as ESGF, EOSC-hub, and INDIGO-DataCloud. His work emphasizes provenance, reproducibility, and interoperability in scientific computing.

The articles reflect a consistent trajectory in large-scale scientific data systems, evolving from Grid-DBMS and parallel computing to modern applications in climate informatics, AI, and FAIR data. Key themes include distributed data management, middleware, exascale software, and reproducible workflows in HPC environments.

Scientific Awards:

• Earth System Grid Federation Team Award (2017)
• UNIDATA Community Equipment Award (2011)
• Best Student Paper Award, ITCC2003

Fiore has advised on and led multiple national and European projects including EOSC-hub, IS-ENES, and BARRACUDA (RDA-Europe3). He actively supports the adoption of FAIR data principles in scientific repositories, advising on data policies, architecture, provenance, and interoperability. He is a member of the FAIR Champions group and serves on the Advisory Board of FAIRsFAIR.

He is involved in key research teams and projects such as the Earth System Grid Federation (ESGF), Globus Lab (University of Chicago), and PCMDI/LLNL. His work contributes to climate model intercomparison (CMIP5/6) and the development of next-generation data infrastructure for open science.