Edward L. Stanley

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.

The paper presents the first high-quality genomes of two webspinner species, revealing complex silk gene structures and gland morphology through genomics and CT imaging.

This study examines the morphology of hawkmoth compound eyes, finding they are near-spherical with low spatial acuity variation and lack distinct acute zones.