Rate My Professor Emre Karaman

Karaman's research centers on quantitative genetics and genomics, with key contributions to genomic prediction in livestock, particularly dairy cattle. His work addresses challenges in admixed populations, improving accuracy in ancestry inference and prediction models for traits like methane emissions, rumen microbiota composition, milk vitamin concentrations, and feed efficiency. Notable publications include 'Accuracy of local ancestry inference and its impact on genomic prediction in admixed dairy cattle populations' (2026), 'Predicting riboflavin (vitamin B2) and cobalamin (vitamin B12) concentrations in Danish cow milk using Fourier transform mid infrared spectra' (2026), 'Genomic prediction in Nordic Red dairy cattle considering breed origin of alleles' (2022), and 'Improvement of genomic prediction by integrating additional single nucleotide polymorphisms selected from imputed whole genome sequencing data' (2020). He has developed tools like the NextGP.jl package for biologically informed genomic predictions and serves as a member of the Academic Council and Topical Advisory Panel for the journal Animals in the section on Animal Genetics and Genomics. Karaman's methodologies enhance genetic gain in breeding programs and support sustainable agriculture through better trait prediction.