Last updated: 15.1.2018
Anne-Marie Nybo Andersen
Anne-Marie Nybo Andersen received her Medical Degree in 1988. After six years of clinical work, she became a full-time researcher in 1994. She obtained her PhD degree in 2001 with the thesis: Fetal death; Epidemiological studies, a research work carried out at the Danish Epidemiological Science Centre. She has been assistant and associate professor at University of Copenhagen (2000-2004), research director for child health at the Danish National Institute for Public Health (2004-2007), Professor of Epidemiology at University of Southern Denmark (2007-2010) and since 2010 she serves as Professor of Social Epidemiology at Department of Public Health, University of Copenhagen.
Her research group is working with maternal and child health, mainly using epidemiologic approaches but also some health services research. The group finds special interest in the fetal, childhood and long-term health effects of exposures in pregnancy, particularly gestational duration, social factors (including maternal and paternal age), infections and health behavior during pregnancy, reproductive immunology, and reproductive conditions among ethnic minorities in Denmark. Furthermore, the group takes an interest in development of epidemiologic methods, register-based research and in birth cohort studies.
Birth cohort research is a key interest, and Anne-Marie was part of establishing the Danish National Birth Cohort in 1995 and has since 2017 been the PI for this large-scale cohort with long-time follow-up. Further, she is founder and web administrator of www.birthcohorts.net., a resource used by researchers worldwide. Anne-Marie was a co-PI for the FP-7 project CHICOS, that built up a close scientific collaboration between more than 15 birth cohorts in Europe, taking advantage of large numbers and great diversity, resulting in a number of research projects addressing rare but important child health outcomes. Currently, she is leading the harmonization task in the Horizon2020 project LifeCycle, with the aim of improving causal inference from epidemiologic studies of childhood metabolic, respiratory, and mental health