Davide Scassola

Applied Scientist, PhD in AI

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I’m an applied scientist with a PhD in AI and a background in computer science, mathematics, and statistics. My research focused mainly on generative models, in particular I published articles on generative models for tabular and relational data at top-tier venues. I’m also interested in Bayesian methods, causality and probabilistic machine learning in general. My industry experience spans software engineering, probabilistic modeling, and research.

Selected Publications

  1. AAAI
    Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic Constraints
    Davide Scassola, Sebastiano Saccani, Ginevra Carbone, and 1 more author
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2025
  2. AAAI
    Graph-Conditional Flow Matching for Relational Data Generation
    Davide Scassola, Sebastiano Saccani, and Luca Bortolussi
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2026
  3. arXiv
    A Sobering Look at Tabular Data Generation via Probabilistic Circuits
    Davide Scassola, Dylan Ponsford, Adrián Javaloy, and 4 more authors
    arXiv preprint arXiv:2603.23016, 2026