I am an Assistant Professor of Computer Science at the University of Milano-Bicocca and a member of the CRISP Research Centre.
My research focuses on representation learning in high-dimensional spaces, with particular attention to embedding methods, the geometry of vector representations, and explainable AI. I study how semantic structures emerge in embedding spaces and how learned representations can be interpreted, evaluated, and made transparent.
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- Representation learning and embedding evaluation
- Geometry and semantics of high-dimensional vector spaces
- Explainable artificial intelligence and interpretable representations
- Natural language processing and language-model interpretability
I am also the WP6 Leader in Spoke 1 of Age-It, where I coordinate research involving data infrastructures, large-scale demographic data, and AI- and Big Data-based analytical tools for ageing research.
- ConvXAI — A reproducible conversational explainable AI reference implementation, accompanying our Cognitive Computation paper.
- Interactive AI tools — Browser-based simulators for Word2Vec, Transformer residual streams, LIME, SHAP, cosine similarity, and MapReduce.
- Introduction to XAI — Theory, practical notebooks, and teaching material covering major explainability methods and frameworks.
- OneBib — A local-first Obsidian plugin for BibTeX citations and automatically synchronised reference lists.
- Categorical Variable Encoding Methods for Tabular Data: A Benchmarking Study. International Journal of Data Science and Analytics, 2026.
- eXplainable AI for Word Embeddings: A Survey. Cognitive Computation, 2025.
- ConvXAI: a System for Multimodal Interaction with Any Black-box Explainer. Cognitive Computation, 2023.
- MEET-LM: A Method for Embeddings Evaluation for Taxonomic Data in the Labour Market. Computers in Industry, 2021.
See the complete list on my publications page or DBLP record.
I teach Data Processing and Analysis, Research Methods, Generative AI, Introduction to Python Programming, and Big Data Engineering at undergraduate and postgraduate levels.
Selected open teaching resources:
For research collaborations or thesis supervision, contact me at schedule a meeting.