About me
Docent in Epidemiology. Computational epidemologist working with personalized medicine in 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, genetic epidemiology, epidemiology
Education
PhD, Karolinska Institutet, 2014
MSc in Computer Science and Engineering from Royal Institute of Technology (KTH), 2009
Academic honours, awards and prizes
Docent in Epidemiology (2022)