SYNTHIA

Synthetic data generation framework for integrated validation of healthcare use cases and AI applications.
A curated overview of the European projects, institutional collaborations, and research stays that frame my work across healthcare AI, federated learning, data-centric methods, and applied machine learning.


Selected collaborative projects across European AI, healthcare, synthetic data, and translational research initiatives.

Synthetic data generation framework for integrated validation of healthcare use cases and AI applications.

Precision drug repurposing for Europe and the world.

Synthetic generation of hematological data over federated computing frameworks.

Genomics and personalized medicine for all through artificial intelligence in haematological diseases.
Selected research contexts that shaped collaborations, methods, and applied directions.

Ongoing collaboration focused on AI-based battery design and diagnostics. This line is currently connected to the NEVORA project.

Three-month research stay focused on optimization techniques for generative models and federated learning, within a shared European context through GenoMed4ALL.
Want to explore more? For papers and research outputs, visit Publications. For a broader academic overview, visit the CV page.