Thomas Hamori

I am a software engineer at Argonne National Lab working at the intersection of large-scale simulation and applied AI. In the Modeling and Analytics group I architect high-fidelity transportation and logistics models, and I build AI tooling and agentic harnesses that accelerate the researchers who use them. I also contribute to autonomous discovery efforts that ground agents for scientific hypothesis generation, robotic experimentation, and high-performance computing for analyzing results. Separately, I collaborate with the Fuels and Materials Analysis group on next-generation life cycle analysis (LCA) software.

I also serve as the AI Representative for the Strategic Security Sciences division — authoring the Division's first AI training module, advising researchers across all three SSS departments on LLM harnesses, agentic IDE workflows, and multimodal data extraction, and acting as the primary point of contact for over 100 researchers on AI initiatives at Argonne National Laboratory.

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