Mate Gerencser
Associate Professor · Stochastic Partial Differential Equations (SPDEs)
Vienna University of TechnologyAustria
About
Mate Gerencser is an Associate Professor at TU Wien's Institute of Analysis and Scientific Computing (E 101), supported by an ERC Starting Grant (2024). His research focuses on stochastic PDEs, regularity structures, rough paths, and numerical analysis of stochastic equations. He is located at Freihaus building, DA06L20, with contact via mate.gerencser@tuwien.ac.at.
Research Interests:
- Stochastic Partial Differential Equations (SPDEs)
- Regularity Structures and Rough Paths
- Regularisation by Noise Phenomena
- Numerical Methods for Stochastic Equations
Grants & Projects:
- ERC Starting Grant: "Stochastic PDEs and Renormalisation" (ID 101117125)
- FWF START Project: STA 119
- FWF Stand-Alone Project: P 34992 ("Regularisation by noise in discrete and continuous systems")
Teaching:
- Current: VU Applied Mathematics Foundations (WS 24/25), VO/UE Stochastic PDEs (SS 25)
- Past: Numerics of PDEs, Stochastic Differential Equations and Numerics
- Supervises bachelor/master theses
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