Clusters or Chaos
Mapping the geometry of LLM failure modes (NTNU, in progress)
Former national team athlete, now building at the edge of AI and quantitative systems.
I chose breadth on purpose. Every summer a different industry, every year a different problem. Basketball, medicine, mathematics, sovereign wealth funds, startups. Not because I couldn't pick, but because range is how you develop taste, and taste is what matters when everyone has access to the same tools.
The most important skill of the next decade is the ability to think differently from the machines you work with. AI makes output converge. The more you rely on it, the more your thinking starts to mimic it. The edge belongs to people who bring variance: unexpected connections, contrarian instincts, ideas a model would never reach. In a world where anyone can build with AI, small teams of sharp, different people are the ultimate multiplier. Together you arrive at ideas no individual and no model could reach alone.

A curated selection of work across quantitative finance, AI research, and product.
Additional projects in progress











