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Postdoctoral Researcher

Department of Computer Science, University of Pisa

KDD Lab member. ERC Advanced Grant XAI project team (2023-2025). Co-writer of the ERC Proof-of-Concept ILLUME-4-Science and WP-leader (2025-2026).

• Designed and implemented meta-encoding pipelines to produce local explanations without per-sample surrogate retraining, achieving orders-of-magnitude faster inference and supporting XAI-assisted scientific hypothesis formulation (e.g., discovery of gene-gene interactions driving cancer cell drug response from transcriptomics data)
• Built robust interpretability and counterfactual methods, improving explanation stability and auditability, outperforming SHAP/LIME while reducing explanation variance.

Research Intern

CENTAI Institute

Visiting internship within the Responsible AI group led by Principal Researcher André Panisson.

• Built self-explainable graph neural networks that improve produce explainable graph features usable in downstream link prediction and node classification workflows.

Research Intern

Delft University of Technology

Visiting internship within the Web Information System group led by Associate Professor Avishek Anand, within the Software Technology department.

• Implemented node retrofitting methods for post-processing graph embeddings and obtaining human-interpretable features.

Research Intern - SoBigData++ Transnational Access

L3S Research Center

Visiting internship for the research track Social Impact of AI and explainable ML, in collaboration with Profs. Avishek Anand and Megha Khosla.

• Designed feature-level explainability methods for opaque node embeddings, with benchmarking of existing embedding methods for graphs.

Doctoral Researcher

ISI Foundation

• Developed node embedding algorithms for dynamic graphs and hypergraphs, with applications in link prediction for social network analysis and epidemiological forecasting.

Junior Researcher - Lagrange Applied Research Scholarship

ISI Foundation

• Inferred human behavior from call detail records to characterize gender-based urban mobility; developed urban-level income predictors from satellite imagery and FB Ads attributes.

Doctor of Philosophy

University of Bologna & ISI Foundation

Data Science and Computation

• Thesis: “Learning Representations for Graph-Structured Socio-Technical Systems” (node embeddings, dynamic networks, link prediction).
• Supervisors: Ciro Cattuto (ISI Foundation), André Panisson (ISI Foundation, CENTAI).

Master's Degree

University of Turin

Physics of Complex Systems

• Thesis: “Statistical Analysis and Modelling of Users Exploratory Behaviour in Vector Embedding Spaces” (word embeddings, large-scale text processing, user modeling).
• Supervisors: Ciro Cattuto (ISI Foundation), André Panisson (ISI Foundation).

Bachelor's Degree

University of Turin

Physics

• Thesis: “Quantum Information and Teleportation on Quantum Memories”.

Proof of Concept ILLUME-4-Science

European Research Council

Co-writer and WP-leader for an 18-month technology-transfer project translating XAI research prototypes into applied ML tools.

SoBigData++ Transnational Access

SoBigData

Recipient of a two-month research scholarship in “Social Impact of AI and Explainable ML”, providing access to big-data computing platforms and computational methods within European research infrastructures.

Lagrange Applied Research Scholarship

Fondazione CRT / ISI Foundation

Recipient of a one-year research scholarship supporting projects in Data Science and Digital Epidemiology at the intersection of science, technology, and public health.