I am a PhD Candidate in Information Technology at Politecnico di Milano (POLIMI), Italy, and Founder and CTO of LegisRatio, a LegalTech company building knowledge-graph-powered legal intelligence.

My research focuses on graph database systems, graph query languages, graph mining, natural language processing, and knowledge discovery at scale. I work across formalisation, systems prototyping, experimental evaluation, and publication, with hands-on experience in Neo4j internals, HPC, and production-scale data systems.

At LegisRatio, I architect and operate a cloud-native knowledge-management platform that transforms and continuously updates more than three million legal documents into a property graph with over five million nodes and fifteen million relationships. The platform supports graphRAG, search, analytics, and agentic legal-monitoring applications.

My doctoral work includes a GQL operator for mining association rules in property graphs, implemented as a Neo4j/APOC prototype and published in The VLDB Journal. I also researched path-aware GQL triggers for active property graph databases as a visiting PhD researcher at LIRIS, Université Claude Bernard Lyon 1; this work was accepted at CIKM 2026.

My research advisors are Prof. Stefano Ceri and Prof. Anna Bernasconi. I am a member of the DATA SCIENCE LAB at the Dipartimento di Elettronica, Informazione e Bioinformatica (DEIB).

I am also a SysAdmin and DevOps Engineer for the Data Science Lab and DSB Lab, where I maintain on-premises and CINECA HPC infrastructure for research services, and a teaching assistant for databases, programming, and computer-science fundamentals courses.

Research topics

Graph Database Systems, GQL and Cypher, Graph Mining, Knowledge Management, Natural Language Processing

Other research interests

Information Retrieval, Large Language Models, GraphRAG, Topic Modeling, Data Science and Engineering

Conferences

As Speaker

  • EDBT25, Demo presenter and speaker, “TETYS: Configurable Topic Modeling Exploration for Big Corpora of Text Documents”
  • DATA24, Poster presenter, “BeRTo: An Efficient Spark-Based Tool for Linking Business Registries in Big Data Environments”
  • SFSCON23, Speaker, “The CORD-19 Topics Visualizer”

As Program Committee

PhD-level courses

  • Parallel Compuiting On Traditional Core-Based and Emerging GPU-Based Architectures through OpenMP and OpenACC/CUDA
    Prof. Luca Breveglieri
    Politecnico di Milano, July 2024
  • Philosophy of Science and Technology: Big Data and Scientific Revolution
    Prof. Stefano Canali
    Politecnico di Milano, July 2024
  • Science, technology, society, and Wikipedia
    Prof. Guido Raos, Prof. Fabio Parmeggiani
    Politecnico di Milano, July 2023
  • The Rise and Fall of Transformers
    Prof. Matteo Matteucci, Prof. Giacomo Boracchi, Prof. Mark Carman
    Politecnico di Milano, January 2023
  • Data Management and Analysis for Computational Biology
    Prof. Marco Masseroli, Prof. Pietro Pinoli, Prof. Anna Bernasconi, Dr. Silvia Cascianelli
    Politecnico di Milano, January 2023

Schools

  • VLDB 23 Summer
    Cluj-Napoca, Transilvania, Romania, July 23
  • DeepLearn23 (and BigDat23)
    Las Palmas de Gran Canaria, Spain, July 23