SYNTHIA
Synthetic data generation framework for integrated validation of healthcare use cases and AI applications.
Synthetic data, validation, and federated-learning research for healthcare use cases.

Projects
Funded and consortium-based work around trustworthy AI, synthetic data, and healthcare applications.
Synthetic data generation framework for integrated validation of healthcare use cases and AI applications.
Synthetic data, validation, and federated-learning research for healthcare use cases.

Precision drug repurposing for Europe and the world, connecting translational research and cross-partner workflows.
AI methods and cross-project research connected to trustworthy biomedical workflows.

Synthetic generation of hematological data over federated computing frameworks for rare-disease and clinical AI scenarios.
Synthetic data generation and federated learning for rare-disease scenarios.

Genomics and personalized medicine through AI in haematological diseases and collaborative clinical research.
Federated learning, survival modelling, and synthetic-data methods for clinical research.

A European AI on-demand platform and ecosystem focused on deployment, integration, and community building.
Early work around applied AI tooling, deployment, and reusable research workflows.

Research stays & collaborations
Institutional collaborations and research stays that connect methods with real scientific problems.
Ongoing collaboration on AI-based battery design and diagnostics, currently connected to the NEVORA project.
Applying interpretable machine learning beyond healthcare, especially for battery diagnostics.

Three-month research stay on optimization techniques for generative models, within GenoMed4ALL context.
Research stay focused on optimization techniques for generative models.

These collaborations connect directly with my publications and academic profile.