I'm an environmental scientist with a strong background in data analysis, geospatial tools, and ecological systems. I’m passionate about using science and programming to create value for nature, people, and the planet.
My academic foundation is in ecology, atmospheric science, and glaciology, and I enjoy bridging environmental questions with robust data workflows. I believe in clear, efficient, and reproducible science — and I’m fascinated by the natural world.
- Remote sensing and spatial data processing (Sentinel, Landsat, terrain models)
- GIS analysis (raster, vector, projections, map algebra)
- Data pipelines in
R,Python, andBash, especially for research and reproducible science - Statistical analysis and visualization for ecological and environmental data
- Applied machine learning to classify and quantify ecological systems
- Experience with HPC clusters, climate and glacial datasets, and field-linked environmental models
- MSc in Environmental Sciences – focus on Ecology & Evolution, Spatial data analysis, Computational modelling
- BSc in Environmental Sciences – focus on Atmospheric Sciences
- Thesis work involving spatial data, ecological modeling, and applied programming
R, Python, QGIS, ArcGIS, bash, HPC/SLURM, git
A dynamic Bayesian modeling pipeline to analyze shifts in Arctic plant community composition using species co-occurrence and environmental drivers.
- Multivariate dynamical model fitting using the
gjampackage- Focused on ecosystem stability (resistance and resilience)
- Developed a generalized framework to fit a dynamical model to a timeseries spatial raster data
Developed a spatial workflow to classify wetland types using multi-season Sentinel-2 imagery and terrain indices.
- Applied Random Forest and Kernel Ridge classification with spatial cross-validation
- Implemented in R using
terra,mlr3, and custom preprocessing- Built for ecological monitoring and decision-support in a restoration context
- Environmental research and data analysis projects
- Remote sensing and geospatial science for conservation, biodiversity, or climate adaptation
- Interdisciplinary work that combines science, fieldwork, and data
- Opportunities to contribute to impactful projects — academic or applied
I’m currently based in Canada (Swiss citizen) and open to remote or international collaboration.
Feel free to reach out if you're working on anything exciting in this space or are curious about collaboration.