Katelyn is a materials research engineer in the Data and AI Driven Materials Science Group at the National Institute of Standards and Technology (NIST). She completed her B.A. and B.E., in Engineering Sciences at Dartmouth College, and her Ph.D. at Carnegie Mellon University. Her PhD work focused on applying machine learning and computer vision techniques to images of fatigue fracture surfaces typically on Ti-6Al-4V. Katelyn's research interests largely are at the intersection of computer vision, machine learning, multi-modal data and interpretability.