Fiore Sandro

via Augusto Imperatore 16, I-73100 Lecce

+39 0832 671081 / 0832 297332

Sandro Fiore, Ph.D., Senior Scientist and Head of the Data Science and Learning Research Team of the Advanced Scientific Computing Division at the Euro-Mediterranean Center on Climate Change (CMCC). He is also currently Visiting Scientist at the University of Chicago (CS Department) working on HPDA for eScience at scale. His activity focuses on high performance database management, big data analytics and mining, large-scale datawarehouses, array-databases & in-memory analytics.

Since 2010, he has been the P.I. of the Ophidia project, a research effort on High Performance Data Analytics for eScience. Since 2004, he has been involved in several national and EU projects working on scientific data management topics.
He was a Visiting Scientist at the Lawrence Livermore National Laboratory from 2011 to 2013, working in the context of the Earth System Grid Federation/CMIP.

He has been involved as Scientific Data Management expert in the Weather, Climate and solid Earth Sciences WG in the European Exascale Software Initiative and the European Extreme Data & Computing Initiative projects.
From 2004 to 2012, he taught 8 Master’s Degree courses on Data Mining, Database Systems and Parallel Computing as lecturer at the Engineering Faculty of the University of Salento, Italy.

As data scientist, he holds 15 years’ experience on data management topics with a comprehensive knowledge of database systems, scientific computing & programming, statistical software, big data tools and data mining algorithms.
Over his 10 years’ experience at CMCC, he has developed scientific and technical skills as well as management, financial and fund-raising capabilities.

He is the author of more than 80 scientific papers, editor of the book “Grid and Cloud Database Management” and co-author of “The International Exascale Software Project roadmap”. He is an ACM Member.

LATEST PUBLICATIONS

  • Towards an Open (Data) Science Analytics-Hub for Reproducible Multi-Model Climate Analysis at Scale
  • A GRelC based Data Grid Management Environment
  • The GRelC Project: state of the art and future directions
  • GReIC Data Storage: A Lightweight Disk Storage Management Solution for Bioinformatics "in silico" Experiments
  • Data virtualization in grid environments through the GRelC Data Access and Integration Service
  • BioClimate: A Science Gateway for Climate Change and Biodiversity research in the EUBrazilCloudConnect project
  • On the road to exascale: Advances in High Performance Computing and Simulations—An overview and editorial
  • Big Data Analytics on Large-Scale Scientific Datasets in the INDIGO-DataCloud Project
  • Distributed and cloud-based multi-model analytics experiments on large volumes of climate change data in the earth system grid federation eco-system
  • Big data analytics for climate change and biodiversity in the EUBrazilCC federated cloud infrastructure

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