Davide Torre

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Hi! I'm Davide Torre, a computational physicist with a PhD in AI, specialized in statistical physics and complex systems.

My research interests include (but are not limited to):

  • synthetic populations;
  • agent based models;
  • complex networks generative models.
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Selected Publications

Guarino, S., Mastrostefano, E., Torre, D. (2025, November). Random hyperbolic graphs with arbitrary mesoscale structures. Physical Review E, 112, 054310.

Torre, D., Chicco, D. (2025, July). TaGra: an open Python package for easily generating graphs from data tables through manifold learning. PeerJ Computer Science.

Guarino, S., Mastrostefano, E., Torre, D. (2023, November). The Hidden-Degree Geometric Block Model. In International Conference on Complex Networks and Their Applications (pp. 409-419). Cham: Springer Nature Switzerland.

Torre, D., Italiano, G. F., & Sinaimeri, B. (2023, September). A Network Approach to Aquatic Food Web Dynamics. In International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics (pp. 1-15). Cham: Springer Nature Switzerland.

Pompa, M., Torre, D., Bretti, G., De Gaetano, A. (2023). Sensitivity Analysis of a 2D Stochastic Agent-Based and PDE Diffusion Model for Cancer-on-Chip Experiments. Axioms, 12(10), 930.

Guarino, S.; Mastrostefano, E.; Bernaschi, M.; Celestini, A.; Cianfriglia, M.; Torre, D.; Zastrow, L.R. (2021). Inferring Urban Social Networks from Publicly Available Data. Future Internet, 13, 108.

Guarino, S.; Mastrostefano, E.; Bernaschi, M.; Celestini, A.; Cianfriglia, M.; Torre, D.; Zastrow, L.R. (2021). A Model for Urban Social Networks. In: Paszynski M., Kranzlmüller D., Krzhizhanovskaya V.V., Dongarra J.J., Sloot P.M. (eds) Computational Science – ICCS 2021. Lecture Notes in Computer Science, vol 12744. Springer, Cham.