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About me

Computational epidemologist working with risk factors and progression of rheumatoid arthritis.

Education

PhD from Karolinska Institutet

MSc in Computer Science and Engineering from KTH

Research description

My research focuses on finding risk factors for rheumatoid arthritis (RA) and progression of the disease. This is done by data mining of different data sources such as questionnaire data, genetic data, quality registers and nation wide population registers. I use "traditional" epidemiological methods, as well as machine learning and more computationally intense methods. 

Teaching portfolio

Mathematical statistics, biostatistics, GWAS analysis.

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