Julia Gimbernat-Mayol

This paper introduces Archetypal Analysis for efficient genetic clustering, showing it outperforms ADMIXTURE in speed and interpretability across human and canid datasets.

This paper predicts dog phenotypes (breed, height, weight) from genotypes using linear and non-linear methods, showing that linear methods outperform non-linear for breed classification but not for height and weight regression.

This study compares how clinical genetics labs in different countries represent race, ethnicity, and ancestry on test requisition forms, finding significant differences in data collection practices.