Summary:

I'm an AI scientist and engineer based in Oslo with a background spanning applied mathematics, machine learning engineering and applied AI research. At SINTEF Digital, I lead technical engagements with industrial customers in energy, logistics, government,  helping them design and deploy AI systems that actually work in real life. Before that, I built and operated the AWS-based ML platform at DNB, Norway's largest bank, which served over 300 data science users.

My PhD is in applied mathematics (NTNU), where I built a level of technical depth in modelling, numerics, and software that lets me engage seriously with hard problems, strip away complexity, and find the simple, targeted solutions addressing core issues. 

Interests:

My current focus is on applied AI and how to get the most out of modern ML in industrial and enterprise settings. That includes working with LLMs (RAG, agents, tool use, eval-driven iteration), physics-informed and scientific ML for time-series and simulation, and scientific communication. I'm particularly interested in the gap between research and production: the deployment, reliability, and integration problems that come after the model works in a notebook.

Education: 

• PhD, Applied Mathematics, Norwegian University of Science and Technology, 2017-2021. 

• MSc, Computational Physics, University of Western Australia, 2015-2016.

• BSc, Physics, University of Western Australia, 2012-2015.

Experience:

• AI Scientist at SINTEF Digital, 2022-present

• Software Engineer for the Data and Analytics Platform at DNB, Norway's largest bank, 2021-2022.

• Lecturer in Numerical Analysis and Python Programming at NTNU, 2019-2020. 

• Competitive swimming coach for various clubs and high schools in Perth, 2012-2017.