- Climate-vegetation interactions
- Machine learning for vegetation modelling
- Dynamic Global Vegetation Models
- Distribution Modelling
- GEO9915/5915 – Ecological Climatology (assistant teacher)
- BIOS9211/5211 – Distribution Modelling (assistant teacher)
- GEO2300 – Physical Processes in the Geosciences (assistant teacher)
2019 – : Doctoral Research Fellow; Vegetation and Climate Dynamics, University of Oslo, Norway.
2019: Field Assistant, University of Gothenburg/ Tarfala Research Station, Sweden.
Vegetation inventory (Point Intercept method), laboratory analyses.
2017 – 2019: MSc in Physical Geography and Ecosystem Science, Lund University, Sweden.
Thesis: “Implications of a dynamic vertical root distribution for modelled water and carbon fluxes across selected ecosystems”.
2017: BSc thesis, Helmholtz-Centre for Environmental Research (UFZ), Leipzig, Germany.
Topic: “Estimating above ground biomass of a tropical rainforest from airborne LiDAR data for different scales”.
2016, 2018: Umeå University/ Abisko Scientific Research Station, Sweden.
Elective courses “Arctic Science” and “Arctic Ecosystems”.
2015 – 2016: Stockholm University, Sweden. Exchange semester at the Dept. of Computer and Systems Science.
Bryn, Anders; Dalen, Thea Grobstok; Finne, Eirik Aasmo; Heiberg, Hanne; Keetz, Lasse Torben & Nilsen, Irene Brox [Show all 30 contributors for this article] (2021). Natur i endring - samspillet mellom klima og økosystemene.
Keetz, Lasse Torben; Bryn, Anders; Horvath, Peter; Skarpaas, Olav; Tallaksen, Lena M. & Zliobaite, Indre (2021). Using machine learning to model the distribution of Vegetation Types across Norway.