Statistical Physics conferences

The conference examines how probabilistic physical descriptions can explain complex living systems. Themes include reduced-dimensional models, self-assembly, biological cycles, and the exchange and use of energy and information. Minimal models of life, inverse problems and systems with many interacting components are used to seek common theoretical principles. Introductory perspectives and contributed short talks connect physics with biology and learning. Attendance requires a bachelor’s degree in science or engineering, or an accepted equivalent. Applications are subject to selection and available capacity.

The conference connects classical soft-matter questions about deformation, flow and assembly with sensing, learning, adaptation and control. Complex fluids, liquid crystals, phase separation and soft-solid mechanics are considered alongside active and living matter in cells, tissues and organisms. Sessions examine exchanges with machine learning and hard condensed matter, biological design principles, and applications to sustainability and health. Research talks, posters and discussion bring together physics, chemistry, engineering and the life sciences. Attendance applications are reviewed and capacity may fill before the application deadline.