Torsten Pook
Torsten has been a researcher at Wageningen University and Research since 2022. Originally from Germany, he completed his Bachelor’s and Master’s degrees in Business Mathematics at the University of Mannheim before shifting his focus to quantitative genetics and animal breeding for his PhD at the University of Goettingen.
His research primarily centers on the statistical analysis of large-scale datasets and the development of methods implemented in software packages such as MoBPS, HaploBlocker, and HBimpute. His main areas of interest include the simulation and optimization of breeding programs, the identification of patterns in genetic datasets for haplotyping and imputation, and the analysis of longitudinal data.
With a strong emphasis on practical applications, Torsten’s work aligns closely with the goals of the Breed4Food project. He is actively involved in most of its work packages and leads Work Package 1 on “Breeding Program Design.”
