I am a postdoc in the research group of Mie Andersen, working on developing and applying machine learning methods for perovskite materials.

Before coming to Aarhus, I studied chemical engineering at Eindhoven University of Technology, from which I graduated in 2022. I then joined Aarhus University for my PhD studies, where I researched how machine learning can be used to investigate inverse catalysts, a material class potentially interesting for the conversion of CO₂ into more useful products such as methanol. This was finalized in 2025, after which I continued as a postdoc.

As a postdoc, I will continue investigating the applicability of machine learning methods, including machine-learned interatomic potentials, now to perovskite oxide materials.