The ESCAPE VRE Team

Enrique Garcia
Enrique is a CERN IT fellow working for EU-funded projects, from where the Virtual Research Environment project started. He contributes to the Rucio jupyterlab extension, plugin used by the VRE analysis facility to access the ESCAPE data lake. He holds a degree in Physics from Universidad Autonoma de Madrid, and a MSc in Astrophysics from Universidad Complutense de Madrid.

Giovanni Guerrieri
Giovanni Guerrieri is the Data Infrastructure for Open Science coordinator for the ESCAPE collaboration, where he also maintains the ESCAPE Virtual Research Environment. He holds a Ph.D. in Particle Physics from the ATLAS Experiment at CERN. At CERN, Giovanni works on large-scale data management, analysis facilities, and open data initiatives. He is also part of the CERN team contributing to the development of the EOSC Federation.
Former team members

Xavier Espinal
Xavier obtained his PhD in Physics in Barcelona within the K2K long baseline neutrino experiment (Japan). In 2005, Xavier joined PIC, the Spanish Tier-1 center for LHC computing, and the ATLAS experiment collaboration where has started his career in scientific computing. Xavier held several roles in disributed operations, data processing and data management activities during the deployment and operation phase of the Worldwide LHC Computing Grid. He coordinated the ESCAPE Data Infrastructure for Open Science Work Package, which, among other outcomes, led to the implementation of the VRE.

Elena Gazzarrini
Elena holds a MSci degree in Physics from King's College London and is a Fellow in the CERN IT department since 2021. Her work focuses on driving the EU-funded Virtual Research Environment project, a platform to facilitate Particle Physics and Astrophysics analyses. She deploys and maintains a K8s Rucio instance for the project's data management framework, accessible by scientists form the Rucio jupyterlab extension. Her contributions to the Rucio code were therefore mainly targeted at the jupyterlab extension, along with enabling access to Rucio from, CERN's reproducible analysis platform.




