Caleb M. Gordon

This paper introduces a biology-guided machine learning method for automated anatomical landmark transfer across diverse biological datasets, showing significant improvements in accuracy and robustness under severe perturbations.

Gordon et al. use a phylogenetic machine-learning approach to predict soft-tissue flippers and aquatic habits in extinct amniotes with >90% accuracy using limb proportions.