CV

Visiting PhD Researcher

Inria – HEKA Research Unit (INSERM – Université Paris Cité)

• Developed graph-based clinical outcome prediction models (GCNs, KG learning)
• Analyzed impact of clinical data standards (FHIR, OMOP, SPHN)
• Collaborated with Nantes University Hospital (CHU de Nantes) within NEUROVASC project
• Worked on explainable AI for healthcare decision support

ICT Research Consultant (AlmaHealthDB)

University of Bologna

• Engineered secure multi-user research infrastructure for AlmaHealthDB
• AlmaHealthDB, connected healthcare data infrastructure (IRCCS network: Rizzoli, S. Orsola-Malpighi, Institute of Neurological Sciences)
• Implemented GPU optimization, role-based access control, and secure data exchange
• Supported interoperability with regional infrastructure (Lepida S.c.p.A.)

Topic Coordinator

Frontiers in Digital Health

• Coordinated special issue on Digital Twins in healthcare
• Managed peer-review and interdisciplinary editorial workflow
• Defined scientific scope on AI, interoperability, and patient-centered systems

Research Fellow

University of Bologna

• Designed FHIR-based clinical data transformation pipeline (Heal Italia)
• Developed ETL workflows for heterogeneous healthcare datasets
• Contributed to data lake and backend infrastructure design

GenAI Research Engineer

MEBLabs

• Developed RAG pipelines using LLMs and vector databases (FAISS)
• Built semantic search systems with OpenAI API
• Deployed AI prototypes on AWS cloud infrastructure

Research Scholarship Holder

I-Tel S.r.l. / University of Bologna

• Designed a microservice-based interoperability platform for healthcare systems
• Implemented HL7, FHIR, and REST integration with legacy systems
• Built a hexagonal architecture for healthcare data exchange

PhD

University of Bologna

Computer Science and Engineering

• Trustworthy AI, clinical data harmonization, Digital Twins
• Knowledge graphs and graph learning for healthcare prediction
• Best Workshop Paper Award (IEEE PerCom DIGITA 2025)

MSc

University of Bologna

Computer Science and Engineering

• Thesis with Rizzoli Orthopaedic Institute (Bologna)
• Healthcare interoperability and digital modeling

BSc

University of Bologna

Computer Science and Engineering

• Pre-hospital trauma tracking system (clinical collaboration)
• Early graduation with honors award

Toward Interoperable Variable Definitions: A FHIR-Based Standardization Strategy for the METASTRA Project

Studies in health technology and informatics

Creating a semantically coherent clinical knowledge base for the METASTRA project, enabling more effective data reuse and supporting evidence generation in multicenter clinical studies.

A knowledge graph-driven framework for deploying AI-powered patient digital twins

Future Generation Computer Systems

Presents an interoperable framework for deploying AI-powered patient digital twins using semantic technologies, FHIR APIs, and automated model integration through knowledge graphs.

Challenges of health data standard adoption and usage: a systematic review

Journal of Biomedical Informatics

Systematic review analyzing adoption, implementation challenges, and practical usage of FHIR, OMOP-CDM, and openEHR across healthcare and research domains.

Clinical Data Goes MEDS? Let's OWL make sense of it

arXiv

Proposes MEDS-OWL, an ontology and RDF conversion framework enabling semantic-web interoperability and FAIR representation of MEDS clinical datasets.

Feasibility of MLOps-based healthcare pipelines in ensuring the Cybersecurity Framework

DEU

Explores integration of MLOps practices with the NIST Cybersecurity Framework for secure AI-driven healthcare systems.

A LLMOps-Driven Framework for Clinical Data Harmonization

DEU

Presents an LLMOps-based framework for automating and improving clinical data harmonization workflows.

CONNECTED: A Knowledge Graph-Driven Platform for Clinical Data Harmonization and Personalized Digital Twin-Based Healthcare

IEEE Computer Society

Introduces CONNECTED, a platform using knowledge graphs and digital twins for personalized medicine and predictive analytics.

Towards real-world clinical data standardization: A modular FHIR-driven transformation pipeline to enhance semantic interoperability in healthcare

Computers in Biology and Medicine

Proposes a modular FHIR-based pipeline for transforming clinical data into interoperable healthcare resources.

Editorial: Implementing digital twins in healthcare: pathways to person-centric solutions

Frontiers in Digital Health

Discusses challenges and opportunities of digital twins in healthcare, focusing on interoperability and patient-centric care.

Representation of Machine Learning Models to Enhance Simulation Capabilities Within Digital Twins in Personalized Healthcare

IEEE PerCom Workshops

Extends CONNECTED by integrating machine learning models into digital twins for simulation and prediction.

FHIR-standardized data collection on the clinical rehabilitation pathway of trans-femoral amputation patients

Scientific Data

Provides a 10-year FHIR-standardized clinical dataset for rehabilitation research.

CONNECTED: leveraging digital twins and personal knowledge graphs in healthcare digitalization

Frontiers in Digital Health

Introduces CONNECTED framework combining digital twins and knowledge graphs for healthcare systems.

MOTU on FHIR: A preliminary strategy to enable interoperability for retrospective dataset standardization

IEEE

Proposes a FHIR-based method for standardizing retrospective clinical datasets for interoperability.