Tasks: Quantitative Geomorphology & Computational Sedimentology, GIS Management
Teaching: Geographic Information Systems (GIS), Using small drones for geoscientific applications
Software library: ImageGrains library (GitHub)

Curriculum

Since 2025 Senior Research Scientist (Wiss. Mitarbeiter), Institute of Geological Sciences, University of Bern
2020 - 2025 Postdoctoral Researcher, Institute of Geological Sciences, University of Bern
2021 - 2023 Certificate of Advanced Studies (CAS) in Advanced Machine Learning, University of Bern
2020 - 2021 Certificate of Advanced Studies (CAS) in Applied Data Science, University of Bern
2019 - 2020 Research Scientist (Wiss. Mitarbeiter), Institute of Geological Sciences, University of Bern
2019 PhD in Earth Sciences, University of Bern, Switzerland
2014 MSc in Earth Sciences, Department of Geology, University of Innsbruck, Austria
2012 BSc in Earth Sciences/Geo- and Atmospheric Science, University of Innsbruck, Austria

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 

Publication Year Type