About me
Computational epidemologist working with risk factors and progression of rheumatoid arthritis.
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.
Education
PhD from Karolinska Institutet
MSc in Computer Science and Engineering from KTH
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