Indaco Biazzo

Researcher at EPFL


Lausanne, Switzerland

About Me

Holding a Ph.D. in statistical physics, I’ve explored the realms of complex systems, big data analysis, and machine learning. My primary focus lies in generative neural networks, and I’ve contributed to various optimization and inference solutions. I’m also behind the CityChrone urban science platform.

Curriculum Vitae [PDF]

Areas of Expertise

  • Generative Neural Networks: Solutions for statistical inferences & physics systems.
  • Inference problems in epidemics: Development of algorithms for inference problems in epidemics.
  • Quantitative Urban Systems: Analyzing urban structures with data & interactive platforms.
  • Optimization: Connecting statistical physics and machine learning for problem-solving.
  • Statistical Physics: Application of advanced statistical physics techniques.


  • Urban Systems: Using the Science of Cities for urban research.
  • Generative Neural Models: Exploring the potential of generative neural networks in diverse domains.
  • Communication: Focusing on interactive platforms for clearer understanding.

Professional Experience

  • Researcher at EPFL: Investigated the intersection of statistical physics models and generative neural networks, with application to epidemics and quantum physics.
  • Web Developer and Researcher at ISI Foundation: Developed a platform centered around urban science.
  • Researcher at Politecnico di Torino: Applied algorithms from statistical physics to statistical inference problems in epidemics and quantum physics.

Curriculum Vitae [PDF]

selected publications

  1. The autoregressive neural network architecture of the Boltzmann distribution of pairwise interacting spins systems
    Biazzo, Indaco
    Communications Physics 2023
  2. A Bayesian generative neural network framework for epidemic inference problems
    Biazzo, Indaco, Braunstein, Alfredo, Dall’Asta, Luca, and Mazza, Fabio
    Scientific Reports 2022
  3. General scores for accessibility and inequality measures in urban areas
    Biazzo, Indaco, Monechi, Bernardo, and Loreto, Vittorio
    Royal Society open science 2019
  4. Epidemic mitigation by statistical inference from contact tracing data
    Baker, Antoine,  Biazzo, Indaco, Braunstein, Alfredo, Catania, Giovanni, Dall’Asta, Luca, Ingrosso, Alessandro, Krzakala, Florent, Mazza, Fabio, Mézard, Marc, Muntoni, Anna Paola, and others,
    Proceedings of the National Academy of Sciences 2021
  5. CityChrone: an Interactive Platform for Transport Network Analysis and Planning in Urban Systems
    Biazzo, Indaco
    In Complex Networks & Their Applications X 2022