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About me

I am a biostatistician and epidemiologist with research interests in cancer epidemiology and reproductive epidemiology. I started at Karolinska Institutet in 1999, and have worked on numerous epidemiological projects, with a strong focus on breast cancer and perinatal outcomes. In 2016, I defended my thesis “Pregnancy and breast cancer: Risk patterns, tumour characteristics and prognosis”. I have a methodological interest in epidemiological designs and survival analysis.

During 2017, I am working at the Cancer Registry of Norway on a project on breast cancer survival.
 

Education

  • 2016, PhD (Medical Sciences), Karolinska Institutet.
  • 1999, MSc (Mathematical statistics), Stockholm University.

Research description

Research on cancer and pregnancy
My main research interest is pregnancies and maternal health. I am specifically interested in studying pregnancy-associated cancer, i.e. cancer diagnosed during or shortly after a pregnancy. Research questions include assessing incidence trends, risk patterns before and after delivery, tumour characteristics and survival, and how these vary by proximity to pregnancy and other reproductive factors such as age at births and number of children. I am also involved in projects regarding in-vitro fertilisation (IVF) and cancer, as well as longterm outcomes in women with breast cancer.

In a larger project, I study how pregnancy and reproductive factors affect different types of cancers.

Research on pregnancies and reproductive health
Since I started at Karolinska Institutet, I have been involved in numerous projects concerning reproductive health. For example, smoking during pregnancy, weight gain before and during pregnancy, and risk for adverse pregnancy outcomes, such as infant death, stillbirth, preterm birth and low birth weight.

Research on methods for register-based epidemiology
I am particularly interested in design issues and statistical methods for register-based research. In my work I utilise the large Swedish population-based health registers available for research. These unique data sources can be used to answer many questions in way that is impossible in many other countries. In some of my work, we develop new methodology and study designs to be able to answer our questions.

Applied biostatistician
As an applied biostatistician, I work within several research projects at MEB. For example: sleeping disturbance and risk for dementia, HPV and cervical cancer, longterm effects of breast cancer treatment. In these projects I contribute statistical expertise to a multi-disciplinary project team.

 

Teaching portfolio

I have been involved in teaching and course organising of:
• Survival analysis (biostat III), within the Doctoral Programme in Epidemiology
• Epidemiology II, within the Doctoral Programme in Epidemiology
• Competing risks and multistate models
• Epidemiological designs in a statistical framework
• Workshops on epidemiological designs and cancer survival analysis

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