Research
My research focuses on the dynamics of the Earth's surface. Specifically, how landscapes evolve through time and the processes that drive erosion across a range of spatial and temporal scales. I am particularly interested in the erosion of bedrock and how its rates and drivers respond to changing environmental conditions. My work also examines sediment production and transport, with an emphasis on understanding intermediate storage and the re-mobilization of material as it moves from source to sink.
Trained as a geologist and further skilled in advanced machine learning and data science, I integrate field observations, laboratory measurements, and remote-sensing datasets with modern computational approaches. Through this combined perspective, I aim to gain quantitative insights into the coupling between surface processes, environmental forcing, and their traces in the landscape and sedimentary archives.
Current Areas of Research:
Quantitative Geomorphology
- Erosion across Scales
- Sediment Transport and Deposition
- Landscape Evolution & Cosmogenic Nuclide Analysis
Computational Sedimentology
- Clastic Sediment Transport & Reworking
- Grain Morphometry and Size Analysis
- Probabilistic Modelling
Machine Learning, Deep Learning in Geoscience
- Object Detection
- Time Series Analysis
- Image Analysis and Classification
Geodata Science
- Spatial Analysis in GIS
- Remote Sensing
- Geologically Explicit 3D Modelling
- Mapping
UAV & SfM Photogrammetry
- Point Cloud Processing
- Topographic Change Detection
Previous Areas of Research:
Muon Tomography
Long-Term Rock Wall Stability
ImageGrains library (GitHub)
Research group Exogene Geology