I’m a theoretical particle physicist, working as AI Research Scientist at Telenor.

I completed my PhD at the University of Oslo, with a focus on machine learning techniques in the physical sciences, looking into supersymmetry and dark matter searches, as well as molecular design. Before that, I earned my MSc degree in physics and astronomy at the Vrije Universiteit Brussel, and worked on projects at the University of Bristol and the LHCb experiment at CERN. I was a member of N-PACT and the GAMBIT Collaboration.

During my PhD, I led the development of the Python tool XSEC, which employs distributed Gaussian process regression techniques to accelerate the expensive predictions of high-precision supersymmetric particle production rates at the Large Hadron Collider (paper/poster).

I was also involved in the development of Argenomic. This cheminformatics tool implements an illumination algorithm to achieve more efficient optimisation of small organic molecules (paper).