The Data Platforms and Tools Development team designs and develops user-friendly platforms and tools to analyse large amounts of omics data, including genomics and phenotypes. It leverages big data technologies and the micro-services paradigm while following best practices around security.
The team makes use of distributed parallel computing resources such as Apache Spark, SQL and distributed No-SQL databases. The development of federated infrastructures for data discovery and data analysis, including federated learning, are among the innovative solutions designed by the team.
Alberto Corvò
Alejandro García
Ángel Blanco
Sergio Medrano
Daniel Picó
Oriol Torres
Anastasios Papakonstantinou
Sofia Chaves
Joel Dieguez
Guillermo Vázquez
Ioana-Damaris Teoc
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