Applied work spanning supply chain AI, human-in-the-loop evaluation, spatial & network modeling, and curriculum design — connecting fragmented data to decisions.
Mapped 107 seafood supply chains across 50 stakeholder leaders — revealed that information asymmetry, not resource scarcity, drives coordination failure.
Analyzed the Ceylon cinnamon supply chain in Sri Lanka — revealed fragmented information, not production capacity, limits market access.
Evaluated ESG outputs for Fortune 500 clients (Mars, McDonald's, major retail and automotive brands) — revealed that sustainability-driven supply chain organization generates measurable financial returns.
Designed and benchmarked NLP pipelines for the Office of Naval Research: semi-automated methods achieved ~88% precision vs. ~38% for fully automated — quantifying the value of human-in-the-loop design.
Built an NLP/LLM pipeline processing all 2003–2010 news articles from the Sudan Tribune to extract and geolocate conflict events among 42 ethnic groups, enabling spatial analysis of environmental drivers of conflict.
Evaluated and iteratively refined AI outputs across supply-chain and analytical workflows; identified hallucinations and failure modes in production contexts before they reached decisions.
Developed and validated ML classifications for remote sensing; diagnosed systematic model errors that propagate downstream into environmental and land-use models.
Built multi-layer behavioral networks linking 106 fishers, 311 species, 11 communities, and 17 management areas — revealing cross-scale interactions between land, ocean, and human behavior.
Validated machine learning land classifications at ~200 km local and ~1,200 km regional scales — revealed that misclassifying tree plantations as native forest distorts environmental models.
Designed an AI-assisted curriculum for Arizona State University's Institute for Social Science Research: 5 modules, 20 skills, 4 datasets — demonstrating that non-experts can evaluate spatial AI outputs with structured frameworks.