Research profile

Alexander's research examines how algorithmic technologies reshape market exchange, professional practices, moral beliefs, and public perceptions of financial markets and public-sector organisations. His work sits at the intersection of economic sociology, science & technology studies, and sociology of professions. He has a particular interest in why algorithms sometimes fail to gain traction in markets despite clear technical feasibility and economic value.

His doctoral research identifies professional cultures, normative ideas, and ethical principles as central drivers of the selective adoption of AI in the life insurance industry.

His current project explores the Danish public-sector AI infrastructure in comparison with other Nordic countries, focusing in particular on the rollout of key national AI initiatives.

Alexander is a postdoctoral researcher at Aalborg University. He holds a PhD in Economic Sociology from Copenhagen Business School, which included a research stay at Stanford University. He earned his MSc and BSc in International Business and Politics from Copenhagen Business School. Alongside his research, Alexander serves as an consultative expert at the European Insurance and Occupational Pensions Authority (EIOPA).