Lead Machine Learning Engineer, MITRE
Eliza Mace leads a Machine Learning (ML) and Artificial Intelligence (AI) research group within MITRE’s National Security Engineering Center FFRDC. Her team of engineers specializes in adapting state-of-the-art AI and ML algorithms to meet warfighter and analyst needs across DoD and IC missions through prototyping, experimentation, and policy development. Eliza’s recent work includes an extensive assessment of Computer Vision systems to inform government enterprise AI strategy and architecture. Over the course of her career at MITRE, Eliza has conducted research on self-supervised learning for overhead remote sensing data; mission-aligned text-to-image generation; object detection for pattern-of-life analysis; user trust and adoption of automation; adversarial attack identification; and large-scale annotation for uncooperative, open-source data. Eliza holds a Bachelor of Science in physics from MIT and a Master of Science in computer science from Columbia University.