The Physical Prediction, Inference and Design group develops methods and community software for solving arising in physical and engineering sciences.

Much of this work has an element of high-performance/parallel computing and numerical analysis to design robust methods and implementations. The research is usually interdisciplinary and collaborative in the sense that group members take classes and engage significantly outside the CS department (e.g., Earth sciences, materials science, aerospace) so as to develop durable, sustainable solutions at appropriate levels of abstraction.

• phyPID website
• Jed Brown