

Hydrological & Hydrodynamic Modeling
Extreme value statistics
GIS & Remote Sensing
Programming & Data Analysis
Extreme Value Statistic & Machine Learning Techniques
Good experience in HPC cluster, SLURM, and GPU programming
Advance compound flood hazard assessment by integrating a novel modeling frameworkspanning sub-daily stochastic climate generation, rainfall temporal disaggregation, hydrological simulation (mHM), hydrodynamic inundation modeling (RIM2D), and flood impact estimation (FLEMO)to quantify the amplification of compound pluvial and fluvial flood risks in the Ahr Valley, Germany.
Scientific support of the reconstruction processes following the flood disaster in Rhineland-Palatinate and North Rhine-Westphalia Evaluate the severity of the rainfall event that caused the record-breaking flood in the Ahr area in July 2021 using the cross-scale weather extremity index (xWEI), which quantifies weather extremes across durations and spatial scales.
Quantify how anthropogenic climate change influenced the July 2021 Ahr Valley flood by comparing the likelihood of extreme precipitation and flood peaks between a present-day and a pre-industrial climate scenario. Develop a Freva plugin for quick flood inundation assessment of large-scale riverine floods in Germany and neighboring basins.
Journal articles
Conference papers
Data Publication
Reports