About
Project Partners
Project Objectives
Team and Governance
News and Events
Results
Interdisciplinary Digital Twin Engine
Interoperability Framework: Guidelines, Specifications, and Blueprint Architecture
Toolkit for AI workflow and method lifecycle management
Quality Framework
DTE Federated Infrastructure integrated with EOSC and EU Data Spaces
interTwin Open Source Community
Digital Twin Engine (DTE)
DTE Testbed
DTE Core Modules
DTE Infrastructure Modules
Thematic Modules: Physics
Thematic Modules: Environment
Impact
Success Stories
Use Cases
Outputs

Estíbaliz Parcero

Estíbaliz Parcero received her BSc in Engineering in Computer Science with a specialization in Languages and Artificial Intelligence, followed by an MSc in Parallel and Distributed Computing from the Universitat Politècnica de València. She has participated in several projects as a research assistant in medical informatics, medical image, and machine learning for computer vision systems. Since 2021, she has been a member of the GRyCAP research group at the Institute for Molecular Imaging, where she co-coordinates the interTwin European Project task on advanced workflow composition, real-time acquisition, and processing.

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