Thomas Hamori

Thomas Hamori is a software engineer at Argonne National Laboratory working at the intersection of large-scale simulation and applied AI. In the Modeling and Analytics group, he architects high-fidelity transportation and logistics models and builds AI tooling and agentic harnesses that accelerate the researchers who use them. He also contributes to autonomous discovery efforts that ground agents for scientific hypothesis generation, robotic experimentation, and high-performance computing for analyzing results. Separately, he collaborates with the Fuels and Materials Analysis group on next-generation life cycle analysis (LCA) software.

He also serves as the AI Representative for the Strategic Security Sciences division, where he coordinates and collaborates with researchers across all three S³ departments on LLM harnesses, agentic IDE workflows, and multimodal data extraction.

His research interests lie at the intersection of agentic AI, applied LLM engineering, and the mathematical analysis, modeling, and simulation of multimodal transportation systems. He is particularly interested in building secure software that is useful, usable, and used.