Quantitative Analysis and Decision Science research ranges from optimisation, performance engineering and knowledge discovery to quantitative verification and security. The work of the section has led to five best paper awards at major international conferences (Middleware, QEST, SPECTS, ICPE) and helped to attract two prestigious Imperial College JRFs (Wiesemann and Casale). Wiesemann is now lecturer in the Business School while Casale joined the Department as lecturer, significantly strengthening the group’s pioneering work on performance engineering. Significant achievements include novel fluid and compositional analysis techniques with application to performance, storage and energy modelling. Their open source software PIPE2 (pipe2.sourceforge.net), has been downloaded more than 100,000 times over the past decade. In computational optimisation the section has pioneered research in decision making under uncertainty. In 2011, Parpas (supported by a Marie Curie Career Integration grant) joined the group to bring additional expertise in the area of multi-scale modelling. The section’s research in discovery sciences has led to the development of the tranSMART system for translational informatics that is now becoming the standard open source platform for medical research and pharmaceutical industry. The success of this led to the €24M eTRIKS European project (Guo, PI) involving the participation of 12 major pharmaceutical companies and medical research institutions.