Andrea Riebler


Mail Address:
   Department of Mathematical Sciences
   Norwegian University of Science and Technology
   N-7491 Trondheim

   Sentralbygg 2, 12th floor, Gløshaugen
   Tel: +47 735 93528

Andrea joined the Statistics group at the Department of Mathematical Sciences in March 2013. She completed her Ph.D in 2010 at the Department of Biostatistics of the University of Zurich (UZH) under the supervision of Leonhard Held. In 2011 she received a postdoctoral "Forschungskredit" fellowship from UZH to work on her own project on genome-scale count data. She worked also as a postdoctoral student for Mark Robinson at the Institue of Molecular Life Sciences at UZH in the area of statistical genomics.

Research interests

My research interests lie in biostatistical applications, computational statistics and Bayesian inference. I am in the developing/maintaing team of the Integrated nested Laplace approximations (INLA) software.
I am the principal investigator of the Norwegian Research Council funded project Penalized Complexity-priors: A new tool to define default priors and robustify Bayesian models (08/2015-07/2020). The main objective is to develop a new framework for specifying a class of default priors at model level. This will not only facilitate the ways priors are determined in practice but also robustify Bayesian analyses. The results will be made available in the R-INLA package.
I am an international collaborator for the project “Anomaly in the gradient: Health of U.S. adults with subbaccalaureate education” of which Dr. Anna Zajacova from the Western University in London Ontario is the principal investigator. The project is granted by the the National Institute of Health (NIH) for the project period 05/15/2016–04/30/2018 (award number R03AG050130). I act as a statistical consultant in this project and will assist Dr. Zajacova to implement and apply Bayesian age-period-cohort models.

Recent publications/preprints: