Freshwater biologist doing research on machine learning and large scale carbon cycling. Highly interested in everything related to data, statistics, geospatial analysis, and machine learning. I have developed software, methods, and equipment to quantify and analyze environmental conditions. Currently, I explore how the combination of large data sets and machine learning can improve our understanding of land-water ecosystem interactions.
This webpage is an outlet for posts about ongoing and previous projects. Everything is likely related to data and water in some way!
PhD in Biology, 2021
University of Copenhagen
MSc in Biology, 2016
University of Copenhagen
BSc in Biology, 2014
University of Copenhagen
Estimating depths in lakes using machine learning
Delineating lake catchments for all (>180 k) Danish lakes
Predicting lake and stream chemistry from catchment characteristics using machine learning
Developing the ‘sonaR’ R-package for reading and processing sonar data
Using machine learning and GIS to predict carbon dioxide in streams
Investigating the causes of massive sudden fish death in Lake Filsø, Denmark.
Developing an automatic floating chamber for carbon dioxide flux measurements
Quantifying large scale carbon dioxide concentration and emission from freshwaters