# Dr. Linda Xu

> Dr. Linda Xu is Director of Data Analytics & AI at MealSuite, where she owns AI end to end, leading AI strategy, AI governance and decision-support systems. She brought over 30 departments under central AI governance with real-time cost visibility, and works alongside AI agents she built as digital workers. Her delivery spans manufacturing, supply chain and healthcare. She holds a PhD in operations research (logistics and supply chain management) from the University of Plymouth and publishes academically as Wei Xu.

Dr. Linda Xu (publishes academically as Wei Xu).

## Key facts
- Current role: Director of Data Analytics & AI, MealSuite (since April 2026). Owns AI end to end.
- In that role: over 30 departments under central AI governance, every MCP connection governed, real-time and in-session AI cost visibility for every employee, 38% reduction in AI cost tracked (model routing is part of it). Third-party source: [Barndoor case study](https://barndoor.ai/customers/mealsuite/).
- Works alongside AI agents she built as digital workers for repeat work, keeping strategy and judgement for herself.
- PhD in operations research (logistics and supply chain management), University of Plymouth. ORCID 0000-0002-0271-1944.

## Pages
- [About](https://drlindaxu.com/about.md): biography and facts
- [Approach](https://drlindaxu.com/approach.md): how and why she uses machines for complicated decisions
- [Work](https://drlindaxu.com/work.md): experience, results and projects
- [Research](https://drlindaxu.com/research.md): research themes
- [AI strategy notes](https://drlindaxu.com/ai-strategy.md): articles on AI strategy, governance, cost and adoption
- [Publications](https://drlindaxu.com/publications.md): all papers with DOIs
- [Contact](https://drlindaxu.com/contact.md): public profiles

## AI strategy notes
- [Give agents the repeat work, keep the judgement](https://drlindaxu.com/ai-strategy/give-agents-the-repeat-work.md): I built AI agents that work as digital workers for me. They take the repeat work, so my time goes to strategy, hands-on model work and people. Every AI leader should work this way, because running your own agents shows you what the whole company will need.

## Data
- [Short and long bio](https://drlindaxu.com/bio.md)
- [BibTeX](https://drlindaxu.com/publications.bib)
- [Sitemap](https://drlindaxu.com/sitemap.xml)