Complexity Science group
Research
We study complex systems in physics, society and machine learning, combining information theory, statistical physics and data analysis.
- 01
Dynamics of democracy
Data-driven models of how democracies and autocracies emerge, stabilise and change.
- 02
Neural networks as complex systems
Understanding machine learning models with the tools of complexity science and statistical physics.
Earlier research areas
Over the years my work has also covered applied information theory, the foundations of complexity science, complex social systems, quantum information theory, molecular electronic structure, and complexity science for climate mitigation and adaptation. You can find these publications on my Google Scholar profile.