Portfolio
A sample of my client work and personal projects
Work In Progress
Curious about what I’m working on? I’m designing an interactive digital platform that connects people in Aarhus with local sustainable options and initiatives. By blending user-friendly technology with community-driven content, I aim to create an inclusive space promoting practical solutions for a greener, more responsible city.
Interested or want to collaborate? Feel free to reach out here!
Workshop Facilitation
I facilitate workshops on climate justice, systems thinking, technology assessment, and data science using Python. My experience ranges from engaging the general public at Mellemfolkeligt Samvirke’s Climate Justice Days to training international researchers. I focus on creating interactive sessions that help participants tackle complex challenges with practical tools and insights.
Elevate Water Solutions with Data
I have teamed up with LakeAid, an emerging start-up company founded by environmental consultants with expertise in microbiology and chemical-free water treatment with nanobubbles, to support them and their clients in the data analysis of water samples.
To filter individual signals from an overlaid spectrum, I applied various machine learning algorithms, including supervised pattern recognition algorithms. These projects involved deconvoluting emission spectra derived from different fluorescent dyes to simultaneously monitor various key metabolic parameters. Interested? Read more here.
To filter individual signals from an overlaid spectrum, I applied various machine learning algorithms, including supervised pattern recognition algorithms. These projects involved deconvoluting emission spectra derived from different fluorescent dyes to simultaneously monitor various key metabolic parameters. Interested? Read more here.
Working with hyperspectral cameras in heterogeneous biological context can quickly lead to larger datasets of several GB. To stillbe able to perform efficient data analysis, I have learned to accelerate and parallelize my programming code.
A graphical user interface (GUI) for electrochemical profiling in environmental monitoring.
This project is an excellent example of spontaneous collaboration and service-oriented support. To speed up the often tedious and repetitive tasks of data analysis, I developed a GUI to assist the user. This also allows for better reproducibility of the analysis. Learn more here.
To make our algae sensor suitable for long-term monitoring in coastal areas, I developed a self-learning algorithm that analyses the current relative abundance of algal classes and predicts algal blooms, especially those of potentially toxic algal classes. Interested in how machine learning and data analytics can help here? Learn more here.
ALPACA · A Miniaturised Algae-Detection Device
A miniaturized, low-cost sensing solution for in situ monitoring of algae in coastal areas.
As part of the EU-funded FP7 project (SCHeMA), I was involved in developing a miniaturized device for real-time monitoring and early detection of harmful algal blooms for less than USD 400. The modular design makes it an extremely versatile and flexible instrument contributing valuably to environmental monitoring, not only in coastal areas. Read more in the respective publication.
Infographics and Dissemination
A recurring task during my Ph.D. was to disseminate our work not only to the scientific community but also to stakeholders and the broader public. Here I show some examples of dissemination.
Want to learn more about the overarching FP7 project SCHeMA (Grant Agreement 614002)? You can learn more about it here 🔗.
