Projects
SAiS participates in a portfolio of European, DFG and MATH+ projects spanning conservative stochastic partial differential equations, rough transport, stochastic dynamics, interacting particle systems and the mathematical foundations of machine learning. Across these projects, a common objective is to understand how microscopic randomness and algorithmic stochasticity generate effective large-scale behaviour—and to turn that understanding into rigorous analytical tools and reliable numerical methods.
Current funded projects
Associated current project
Past projects
Random dynamical systems and regularization by noise for stochastic partial differential equations
DFG Postdoctoral Fellowships · 2013–2015
Pathwise and dynamical approaches to stochastic equations, including regularization by noise.
GRK 2235 — Searching for the regular in the irregular
DFG Research Training Groups / International Research Training Groups · 2016–2025
International doctoral programme on structures emerging from singularity, randomness and low regularity.
CRC 1283 project B08 — Stochastic PDE with conservative noise
DFG Collaborative Research Centres · 2021–2025
A precursor to the present FluCo programme on conservative SPDEs, fluctuations and stochastic dynamics.
Networks and affiliations
SAiS also participates in wider institutional networks connecting stochastic analysis, rough analysis and Berlin mathematics. View affiliations and networks →