What are the ultimate causes of the universe? In the reductionist tradition, we tackle the synthesis of the fundamental forces, and the nature of symmetry, causality and information. We also develop new mathematics that unify these and other fields that at first seem unconnected.

Tackling big questions about the fundamental forces and symmetry, causality and information, and the mathematics that binds them together.

The elegant universe

How do we reduce toil, improve health, boost security and enhance creativity? The technologies behind these always rely on scientific principles. We develop the theories for the tech of the future, such as novel materials, predictive medicine, digital security and alternative computing.

Establishing the theories behind the technologies of the future, across condensed matter, predictive medicine, security and novel computing.

Tomorrow’s technology

What is life, and why is artificial life so elusive? How can we characterise and augment machine learning? We seek a fundamental understanding of life, learning and other emergent phenomena, and we create systems for automated decision-making, inference and discovery.

Developing the mathematical foundations for life and artificial life, machine intelligence and systems for automated inference and discovery.

Life, learning and emergence

Can we predict the behaviour of human enterprise? To what extent can we influence it for economic and social benefit? We develop mathematical models of financial markets, technological innovation and organisational intelligence, and use them to help revise the rules of the game.

Devising mathematical models of human enterprise, so that we can predict and enhance markets, technological change and agile organisations.

The elegant universe

Tomorrow’s technology

Life, learning and emergence

Theory of human enterprise