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About me

I am a Postdoctoral Researcher at Aalborg University’s Techno-Anthropology Lab, researching algorithmic markets and AI governance. My work examines how algorithmic systems are designed, adopted, and governed in insurance markets, in professional work, and across the public sector, drawing on economic sociology, science and technology studies, and the sociology of professions.

I am particularly interested in why some algorithmic systems take root in organizations while others fail to gain traction, even when they are technically feasible and economically valuable. My current work examines how governments coordinate, orchestrate an govern the development of public sector AI infrastructures, comparing Danish initiatives with others across the Nordic countries.

Alongside my academic work, I advise organizations on AI governance and responsible AI use.

Background

In my doctoral research, I investigated the adoption of AI in the life insurance industry. Drawing on economic sociology and science and technology studies, I explored how professional ideologies, ethical principles, and regulatory norms shape decisions about data use, algorithm design, and the boundaries of what is deemed a morally acceptable AI system. This work traced a striking paradox, namely that behavioral data and machine learning techniques are increasingly used for loss prevention but remain far less common in pricing and actuarial risk calculation. Throughout several articles, I showed how this is attributed to the moral frameworks and professional cultures of data professionals.

I completed my PhD in Economic Sociology at Copenhagen Business School in 2025, with a research stay at SCANCOR, Stanford University. Before my doctoral studies, I completed my BSc and MSc in International Business and Politics at CBS. Alongside my studies, I was an analyst at the Happiness Research Institute, and I continue to actively follow the wellbeing and post-growth political movement.

Across my projects, I use a mixed-methods approach that includes participant observation, interviews, document analysis, and quantitative techniques such as statistical modelling, network analysis, and multiple correspondence analysis.

I currently serve as Consultative Expert on Data Use in Insurance at the European Insurance and Occupational Pensions Authority (EIOPA), where I am developing an authoritative report on ethical boundaries in data use and their implications for risk mutualization.