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.
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.
Interests
- 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.