Skills
The methods, tools, and domains I work in to create meaningful impact.
Core expertise
Methods & tools
Key tools and approaches I rely on to turn complex problems into insightful results.
OpenLCA
Open-source LCA software for flexible and transparent modelling.
I use openLCA for advanced and customizable LCA modelling, particularly when working with complex systems or developing new methodologies. Its flexibility allows for detailed control over system boundaries, data, and assumptions. This makes it especially suitable for consequential LCA and research-oriented work. It also supports integration with custom datasets and external tools.
SimaPro
Professional LCA software widely used in industry and research.
I use SimaPro for structured LCA modelling aligned with industry standards and established workflows. It provides access to a wide range of databases and impact assessment methods, supporting consistent and robust analyses. It is particularly useful in contexts where comparability and standardisation are important. This includes EPDs and certification-related work.
LCAByg
Tool for building-level LCA aligned with Danish regulations.
LCAbyg is used to perform LCA calculations in accordance with Danish building regulations. I use it to assess buildings at different design stages and support compliance with national requirements. While structured and standardised, it requires careful input and interpretation to ensure meaningful results. It plays a key role in bridging regulation and design.
LCA databases
Structured datasets providing environmental profiles for materials, energy, and processes.
I work extensively with established LCA databases such as Ecoinvent and Exiobase to model supply chains and environmental impacts. These databases form the backbone of most LCA studies, but require careful selection, adaptation, and interpretation. I also develop and refine datasets to better reflect specific contexts, particularly within the built environment. This ensures that results are both robust and relevant.
Python
Programming language for data processing, modelling, and automation.
I use Python to handle large datasets, automate workflows, and develop custom analysis tools. It enables more efficient and scalable approaches to LCA modelling and data processing. This is particularly valuable when working with complex systems or large project datasets. It also supports reproducibility and transparency.
Discovering Science, Sharing Knowledge