Summary
Indaco Biazzo is a research-driven computational scientist with 10+ years of experience applying statistical physics, optimization and machine learning to real-world problems. He specializes in generative neural networks and statistical inference for epidemics and quantum systems, and has translated academic research into interactive tools such as the CityChrone platform for quantitative urban transport planning. Currently contributing to digital health and outbreak preparedness at the European Commission’s Joint Research Centre, he combines rigorous theoretical training (PhD, Politecnico di Torino) with hands-on web and platform engineering. Known for bridging domains, he pairs deep-model expertise with practical systems thinking to turn complex data into actionable insights for cities and public health.
10 years of coding experience
11 years of employment as a software developer
École normale supérieure - Paris
Master's degree, Physics, 110/110 cum laude, Master's degree, Physics, 110/110 cum laude at Sapienza Università di Roma
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Politecnico di Torino
English, French