#### Projects

**DFG project “Excitation Energy Transfer in a Photosynthetic System with more than 100 Million Atoms”**(duration: 2021-2014)*Individual Research Grant funded by DFG (joint project with Ulrich Kleinekathöfer, Physics, Jacobs University Bremen)***MarDATA project “Digital Cores: Paleo-Climate reconstruction using multi-fidelity machine learning”**(duration: 2021-2024)*Helmholtz School for Marine Data Science (joint project with Thomas Laepple, Alfred Wegener Institute & U. Bremen).*

#### Research interests

**Machine Learning, Uncertainty Quantification and Big Data**- multi-fidelity machine learning (e.g. by sparse grid combination technique)
- approximate training (low-rank approximation by e.g. hierarchical matrices)
- stochastic collocation, Bayesian inference / data assimilation
- basic research wrt. reproducing kernel Hilbert spaces / Gaussian processes

**High Performance Computing**- numerics / algorithms for many-core processors (e.g. GPUs)
- scalable distributed-memory parallel computing in machine learning and scientific computing

**Interdisciplinary applications**- material science, quantum chemistry (data from DFT, CC, etc.)
- paleo-climate reconstruction (calibration, etc.)
- fluid mechanics (two-phase flows, plasma physics)
- medical imaging (dynamic contrast-enhanced imaging)

#### Software

**hmglib**– Open Source library for hierarchical matrices on GPU (https://github.com/zaspel/hmglib)**MPLA**– Open Source multi-GPU parallel library for dense iterative solvers (https://github.com/zaspel/MPLA)**QML**– Extension of the Open Source Quantum Machine Learning library by multi-fidelity techniques (for now hosted in the fork https://github.com/zaspel/qml)**UQ on GPU**– (Multi-) GPU parallel kernel-based methods for uncertainty quantification in random partial differential equations**AMG on GPU**– Hybrid GPU-based Ruge-Stüben algebraic multigrid**NaSt3DGPF**– Multi-GPU MPI-parallel version of the fluid mechanics solver NaSt3DGPF (https://ins.uni-bonn.de/media/public/u/griebel/NaSt3DGPF/projects.html)