DYNASNET

The aim of the EU-funded DYNASNET project is to engage leading exper

ERMiD

Effective Random Methods in Discrete Mathematics

Analysis and Applications of Markov Chains

The research group analyzes the mixing properties of Markov chains, investigates the possibilities of improving mixing by perturbing the chains, furthermore analyzes and refines consensus algorithms based on inspiration from applications.

Optimal transport

We study the geometry of classical and quantum state spaces endowed with optimal transport distances, and various quantum versions of the optimal transport problem.

Financial Mathematics

The group investigates mathematical questions arising from financial markets: optimal investment and also the convergence analysis of machine learning algorithms.