Shipshark, co-founder
I co-founded Shipshark, a third-party logistics company shipping products across Denmark and the rest of Europe for e-commerce companies. I led the technical development of its shipping and logistics platform.

I grew up moving between countries, started building software as a teenager, and still learn best by making something real.
This page is the less formal account: photographs, earlier projects, and the places that shaped how I work.

I was born in Denmark and have since lived in the UK, US, Germany, Australia, Spain, and Italy. I’m very lucky to have been raised in a family naturally curious about the world around us.

Growing up in different countries and adapting to new school systems made me curious early. Whether it is a programming language or a human language, I learn fastest by finding a real problem and immersing myself in it.

I started by self-studying how to make AI models more useful for real-world tasks. That led to research published at COLING 2025, reviewing for ACL Rolling Review, and an equal fascination with the infrastructure behind the models.

I sold my first piece of software to a real customer when I was fifteen and was over the moon. Today I’m deep into AI research and still want to use that knowledge to solve real problems.

No, just kidding. I do not like sour candy and I do not eat breakfast. Instead, here is a picture of me with a Moroccan donkey in the awesome city of Fez.
I co-founded Shipshark, a third-party logistics company shipping products across Denmark and the rest of Europe for e-commerce companies. I led the technical development of its shipping and logistics platform.

I review papers for ACL Rolling Review and help authors improve their work. It has also made me much more attentive to how research claims are framed, supported, and communicated.

I spent almost my entire second semester building an AI semantic search engine for LaserTryk.dk’s customer-support team (sorry, professors). Working with NLP before generative AI was cool got me hooked on practical AI.

I’ve lived in nine cities across six countries and three continents. Moving around made adaptability feel ordinary and curiosity feel necessary.
I worked on my research interests with the team at Paper Instruments while moving between cities, mountains, and borrowed desks. It taught me how much good work depends on choosing the right problems, and how little it depends on having one permanent office.

I finished my courses ahead of time and went to Spain to write my bachelor’s thesis. I would walk down to the Mediterranean, order a café con leche, and write until it was time for siesta.

I studied at UNSW as an exchange student, choosing it partly for a postgraduate course in advanced machine learning that lined up directly with my research interests.

I completed a BSc in Data Science focused on programming, AI, and machine learning. The emphasis on group projects and hands-on work suited how I learn. My thesis became my COLING 2025 paper on structured knowledge distillation.

I studied economics and mathematics. Alongside school, I kept building software and trying small businesses. That habit eventually pulled me toward research through engineering.
My family and I lived in Germany while I attended tenth grade at a local school. I made friends, learned German, and became comfortable starting again in an unfamiliar place.

Another new country, another new school system, and another lesson in learning quickly by taking part rather than watching from the outside.

My first experience living and going to school abroad. I was six, so adaptation mostly meant learning English, making friends, and figuring things out as I went.

The school I returned to between moves, and where most of the earliest experiments, websites, and ill-advised business ideas began.