Matthew I. Swindall

Dr. Matthew I. Swindall is a Postdoctoral Appointee at Argonne National Laboratory and a computational scientist with a Ph.D. in Computational Science from Middle Tennessee State University and a foundational background in physics and astronomy. His research spans AI/ML-driven discovery, natural language processing (NLP), large language models (LLMs), computer vision, and the development of trustworthy, human-centered AI systems. At Argonne, he develops spatial computing (AR/VR/XR) applications for nuclear forensics and national security and contributes to projects in radiochemistry, cyber security, detector technologies, and autonomous discovery. His broader expertise includes deep learning, generative AI, transfer learning, optical character recognition (OCR), graph databases (Neo4j Certified Professional), and end-to-end AI pipeline development across diverse domains—from ancient literary texts to radiological systems. His work is supported by national security related projects, multiple Laboratory Directed Research and Development (LDRD) projects, and he is actively engaged in advancing novel AI methodologies that bridge powerful machine learning techniques with domain-specific knowledge to ensure correctness, safety, and scientific rigor.