Institutes and Centres
CFM, Complexity, LFC
CFM - Imperial Institute of Quantitative Finance
Established in 2014 to promote interdisciplinary research focusing on understanding financial market complexity and quantitative modelling and management of financial risks.
Centre for Complexity Science
The Centre engages in a range of research into the applied and fundamental aspects of complexity science, where often the most interesting questions extend beyond the realms of idealised models and the simplifications arising within typical experiments.
LFC - UK
LFC-UK: Development of Underpinning Technology for Laminar Flow Control is a programme grant coordinated by Imperial College with a budget of £4.2M jointly funded by EPSRC, Airbus and EADS-IW.
Probability, Metric, MPH
Imperial Probability Centre
Imperial Probability is a research forum in Probability and related areas at Imperial College London. Its main aim is to facilitate the interdepartmental collaboration between researchers at Imperial using probabilistic methods.
Metric
METRIC comprises a bank of online mathematical resources covering a variety of topic areas for GCSE, 1st and 2nd year undergraduate courses in science and engineering.
EPSRC Centre for Mathematics of Precision Healthcare
Precision healthcare seeks to deploy therapies that are sensitive to the particular genetic, lifestyle and environmental circumstances of each patient. Understanding how best to use these numerous features about each patient is a true mathematical challenge.
Plasmonics and Metamaterials, SAS
Centre for Plasmonics and Metamaterials
A cross-faculty group covering a broad range of research in plasmonics and metamaterials. The focus is on both fundamental research and on application-oriented work towards energy, communication, computing and healthcare technologies.
Statistical Advisory Service
The Statistical Advisory Service exists to provide statistical consulting services to clients within Imperial College and external public and commercial bodies.
Quantitative Sciences Research Institute
Enabling interactions for modelling and quantifying interdisciplinary phenomena.