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Maria

Visiting PhD Student

The main interest of my research is spatial statistics and applications of spatial models in quantitative genetics. I have explored mostly latent Gaussian models, a class of Bayesian hierarchical models that are powerful and flexible but have some challenges, for example identifiability issues. I have worked with spatial modelling in agricultural field experiments, and currently in animal breeding, in situations where genetic and spatial effects can be hard to separate. I have also been involved in modelling SNP data, where biological knowledge about markers is included in a linear predictor for the marker variance, which in some cases leads to higher accuracies in genomic prediction.

 

Education

2016-Present: PhD student

Norwegian University of Science and Technology, Norway PhD in spatial statistics with applications in quantitative genetics

2011-2016: One-tier master’s degree programme in Applied Physics and Mathematics

Norwegian University of Science and Technology, Norway

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