Bruno Chikeka
Evidence-grounded AI for major public infrastructure programmes — how governments and institutions measure, encode, and govern complex delivery.
I work at the intersection of AI, infrastructure / major programmes, and public policy / institutions.
AI
Research and tools that keep model outputs tied to evidence:
- PSPE (Oxford MMPM candidate dissertation) — Programme Structural Prediction Engine: document-to-graph encoding with verbatim provenance
- Programme Encoder — lightweight encoding of programme documents into typed causal graphs
- Programme World Model — evidence-backed dependency and scenario exploration from public project histories
- Public epistemic ledger — falsifiable claims and scored outcomes
Hugging Face @Chikeka · writing via Future Stakeholder
Infrastructure
Focus on major public programmes and delivery systems — the structures governments use to plan, measure, and govern large capital and policy programmes. Practice includes Alberta Infrastructure–adjacent delivery context and Acentrium advisory on digital transformation for complex programmes.
Public policy
Writing and institutional contribution on honest measurement, AI in delivery, and how public organisations should govern model-assisted programme work.
- Future Stakeholder (Paraluman) — columns at the AI × institutions edge
- Policy Options / Devex — pieces on AI-enabled delivery and measurement
- Acentrium Global · Acentrium Africa
About
Bruno Chikeka is Founder and Principal of Acentrium Global Projects Ltd (Edmonton) and an Oxford MMPM candidate. Earlier roles in climate and digital infrastructure (including ClimeCheck) are prior context; the public through-line now is evidence-grounded AI for major programmes and institutions.