Research Interests
Uncertainty quantification
- Nonstationary Baysian inverse problems
- Statistical models and optimal transportation
- Sampling, Markov chain Monte Carlo methods
- Data assimilation, filtering and smoothing algorithms
Geophysical Fluid Dynamics
-
Hamiltonian Particle-Mesh Methods for the Shallow-Water Equations
-
Semi-Implicit and Staggered Semi-Lagrangian Methods for the Shallow-Water Equations
- Geostrophic Balance and Asymptotic Analysis
- Non-hydrostatic motion and numerical methods
- Multi-symplectic Structure and Conservation of Potential Vorticity
- Data assimilation and ensemble Kalman filters
Molecular Dynamics
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Particle Methods and Statistical Mechanics
- Time stepping methods for classical, stochastic and quantum-classical
molecular dynamics
- Hybrid Monte Carlo methods
Geometric Integration
- Hamiltonian ODEs and PDEs
- Computation of Lyapunov Exponents
- Backward Error Analysis
- Adaptivity and Conservation
Averaging in highly oscillatory systems and general multi-scale
analysis
- Existence and life-span of adiabatic invariants
- Large time-step numerical methods
- Mori-Zwanzig reduction and stochastic modelling
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Sebastian
Reich