Overview | Networks Lab

Higher order networks We are interested in studying how the structure of a network changes the flow of signals (or information in it).
Explainable AI for science When using AI for scientific applications in physics, biology or chemistry etc, it is important to develop a formal understanding of exactly what the neural network is learning, and what it’s limitations are.

Topological data analysis and topological ML Topology or the study of holes can offer important insight into a system.
Cognition and collective intelligence Understanding how learning and decision making happens in the individual brain and collectively as a society.