Data and modelling
Detecting complex patterns in systems and data sets
Developing computational and statistical methods for real-world systems.
The construction of mathematical models in the sciences, medicine, technology and finance is an important and rapidly expanding area of research. Members of our Data & Modelling research cluster thus work in close collaboration with interdisciplinary partners and experimentalists.
Computational Mathematics, Statistical Analysis and Data Science occupy an important and growing role. Our researchers design efficient algorithms for processing large amounts of data and discover new ways to detect and interpret complex patterns in real-world systems.
Header image: Eduardo Altmann: Hierarchical clustering of Wikipedia articles
Research areas
- Bioinformatics
- Mathematical Biology
- Econometrics and Financial Mathematics
- Bayesian Statistics
- Fluid dynamics
