About me

I have always needed to understand things. As a kid I was bored with school, not from lack of interest but from an excess of it. I was too busy daydreaming and devouring popular science magazines to care much about reciting things back on command. Dinosaurs, biology, psychology, history, the future. I needed to know all of it. I was hooked on MythBusters, Prototype This, Brainiac, nature documentaries narrated by David Attenborough, and pretty much any science or quiz show on TV. It took pursuing a degree for me to realize I had been academic all along. The structure just never fit. I left school at seventeen and went to work, and came back to it later, taking ten upper secondary subjects in my own time alongside a full-time job and a newborn son. After ten years in sales management, studying alongside everything else was not the hard part.

Alongside that curiosity came something else: a deep and stubborn sense of justice. Even with a rebellious spirit, fairness was always a part of me.

I first became fascinated with machine learning around 2017, through speedrunning (a form of competitive gaming with self-imposed urgency) where neural networks were being used to chase world records. The same thing was happening in chess. DeepMind's AlphaZero had taught itself the game from scratch through self-play, without ever being shown an opening book, and for a few years it, Leela Chess Zero and Stockfish fought over which of them was strongest. I followed it closely and understood maybe half of what I was reading. The games were extraordinary. A few years later I decided to pursue InfoSec as a career, drawn in by ethical hackers and the craft of offensive security. I was going to be a red teamer leveraging AI.

Then I went deeper into AI and security together, and the scope of the problem changed shape. This space demands everything at once: technical depth, legal understanding, philosophical grounding, governance thinking, and the ability to communicate across all of it. No single discipline owns the problem. Sales, insurance and call centre operations taught me to carry a regulated, technical argument to people who do not share my vocabulary and still get it right. That turns out to matter here more than I expected.

Outside of all of this, the most important thing I am is being a husband and father of two small children. It also means that everything I build, I build alongside a full-time degree and the general beautiful chaos of life.

I'm finishing a technical informatics degree at the University of Oslo, built on the mathematical foundations of machine learning, statistics for computer scientists and probabilistic machine learning. Right now I'm on an internship through IN5640, training a large language model from scratch on Olivia, Norway's most powerful supercomputer, operated by Sigma2. We work in a team of two and will be graded from how the project is run, which means planning it, budgeting the GPU hours, writing the technical reports and actually finishing. I'm doing that alongside cybersecurity and privacy and data protection law at the Faculty of Law. This semester that's 40 credits plus the internship, against a standard full-time load of 30. Course codes and links to the UiO catalogue are on the credentials page.

I've been a member of the AI Governance Club since early 2026, a global community sponsored by BlueDot Impact that meets weekly to discuss AI policy, safety and regulation.

Before university I spent fourteen years in sales, ten of them in sales leadership, including three years running a thirty-person call centre with two others. I did my national service in 2011 and trained as a medic, and still serve as a Basic Medic in the Norwegian Home Guard. In 2014 I qualified under Godkjenningsordningen i skadeforsikring for both the consumer and business markets, in its first years as a national scheme, working under God skikk, the conduct norm it enforces.