Databases & data models
Design, development and maintenance in Microsoft SQL Server and PostgreSQL.
- SQL
- ETL
- Data modelling
Profile
Precision without losing sight of people.
For more than 15 years, I have designed, built and maintained research databases in the health sector. I work where clinical reality, data engineering and research meet.
My strength is bringing structure to complex data sources and making them documented, reproducible and reliable for further work. I collaborate closely with clinicians, PhD students, researchers and technical specialists.
I also explore Python, machine learning and local language models, with an emphasis on transparency and practical value.
Expertise
From raw data to a trustworthy foundation.
A technical toolkit shaped by clinical questions, research requirements and many years of operational experience.
Quality & documentation
Validation, traceability and documentation that make data safe to reuse.
- Data quality
- Requirements
- Reproducibility
Analysis & statistics
Analysis of clinical and genomic datasets with a focus on robust results.
- R
- SAS
- Python
Collaboration & delivery
Connecting clinical needs, research questions and technical implementation.
- Scrum
- Lean
- Communication
Research interests
Using data analysis to understand systems in transition.
A recurring thread across my interests is the use of data analysis to examine large changes in health, research, work and society — not only how a tool works, but what it changes around it.
Artificial intelligence & machine learning
The technology, its practical applications and transparent implementation, including local language models and systematic model comparison.
Health data & clinical statistics
Reliable clinical evidence built through careful definitions, data quality, reproducible analysis and an understanding of the research context.
AI & labour markets
Research on AI exposure in Danish and global labour markets, including entry-level job erosion and disruption of traditional apprenticeship models.
Data journalism & NLP
Text mining, topic modelling and natural language processing applied to job advertisements, research literature and other large text collections.
Economic & geopolitical scenarios
Following structural economic risk and examining how geopolitical developments can alter assumptions, dependencies and possible outcomes.
AI in academic research
Practical and responsible use of AI in research workflows, with documentation, critical review and human control built into the process.
A critical, practical working style
I use language models for structured research and prompt design, compare AI providers methodically, build interactive web applications and monitor labour-market developments over time. This connects data science, health data and labour-market analysis through concrete, reviewable products.
My labour-market research draws on sources including Statistics Denmark's analysis of large language models and the European Training Foundation's work on AI and labour markets.
Research practice
The data foundation is part of the research result.
Good research requires more than an analysis. Definitions, sources, transformations and quality controls must connect so that others can understand and verify the work.
01Clinical data
02Validation
03Research-ready