Vince Castillo, Ph.D.
Logistics professor exploring how generative and agentic AI reshape supply chain decisions, work, and education.
I study how AI systems behave as economic and operational actors — and what that means for the organizations that deploy them. My work bridges behavioral AI research and supply chain practice, from benchmarking how LLMs make decisions to building agentic systems that operate in real logistics contexts.
Under the hood
My research program centers on machine behavior — the empirical study of how AI systems act as decision-makers in economic and operational settings. That means treating LLMs not as tools to be prompted, but as agents to be measured: how do they negotiate, allocate, forecast, and fail? And what happens when you put them inside supply chain workflows that were designed for humans?
- LLM benchmarking in logistics and operations contexts
- Agentic AI system design for supply chain decision-making
- Behavioral experiments comparing AI and human actors
- Applied generative AI in procurement, warehousing, and last-mile
I'm actively seeking industry collaborators for agentic AI research — particularly
organizations willing to bring real operational problems to the table. If that's you:
vince@castillo.phd.