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

  • INDIGO-DataCloud: a Platform to Facilitate Seamless Access to E-Infrastructures
  • Towards an Open (Data) Science Analytics-Hub for Reproducible Multi-Model Climate Analysis at Scale
  • GIS and Data: Three applications to enhance Mobility
  • A Re-Identification Risk-Based Anonymization Framework for Data Analytics Platforms
  • A grid-enabled Web map server
  • A semantic grid-based data access and integration service for bioinformatics
  • ProGenGrid: a workflow service infrastructure for composing and executing bioinformatics grid services
  • A Split & Merge Data Management Architecture for a Grid Environment
  • A Grid System for the Ingestion of Biological Data into a Relational DBMS
  • A GRelC based Data Grid Management Environment

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