Ph.D. Student — Generative Deep Models

• Scalable generative models for high-dimensional, low-sample domains, combining flow- and diffusion-based synthesis for 3D data augmentation with multimodal semantic representations from large vision–language models.
• XAI-driven interpretability, systematic evaluation frameworks, and reproducible experimental design.
• Design and validation of 3D generative models for full-resolution brain MRI, with multi-site preprocessing and anatomy-aware evaluation.

M.S. in Computer Science Engineering — Information Systems

Thesis: An autoregressive transformer-based model that synthesises complete 3D environments from a room type, desired styles, and a textual description of the furnishings.

B.S. in Computer Science and Automation Engineering

Thesis: State-of-the-art study of methodologies for the effective and scalable design of complex information systems.

Research Fellow — SisInfLab

Analysis of multispectral satellite imagery with deep learning and time-series methods to assess the impact of Xylella fastidiosa on Mediterranean crops and inform sustainable agricultural strategies.

Research Internship — SisInfLab

Proof-of-concept virtual reality system for furniture showrooms based on generative AI, built to validate commercial potential with companies in the sector.

MISTRAL — European Research Project

Digital toolkit for Health Impact Assessment using AI to predict the effect of environmental and socio-economic factors on disability and quality of life. Federated-learning architecture, validated on steel-plant pollution exposure scenarios in Taranto (Italy), Rybnik (Poland), and Flanders (Belgium).

OMIBREED — National Research Project

Full-stack platform for partner data intake and analysis of Xylella fastidiosa-affected olive trees, streamlining omics data workflows and supporting deep-learning model training.

Industry Research — Digital Tech Company

Federated-learning proof-of-concept for distributed collaborative training of predictive models while preserving the confidentiality of sensitive patient data.

Industry Research — Furnishing Company

Generative-AI proof-of-concept for furniture showrooms, integrated with a virtual reality system to advance practical application in the sector.

Teaching Assistant — Polytechnic University of Bari

Courses: Deep Learning; Foundations of Machine Learning.

Lecturer

• Artificial Intelligence: From Basics to Generative AI — ITS Academy Apulia Digital Maker.
• Fundamentals of Network and System Security — Spegea Business School.

Reviewer

Data Mining and Knowledge Discovery; Nature Scientific Reports; ECIR'25; UMAP'25; XAI'25; ECAI'25; AAAI'25; ICLR'25; CVPR'26; MICCAI'26.