Senior AI Product Lead at Liminal
Architecting AI-Native Intelligence Systems
Previously led technical product development, policy research, and data analysis at GFANZ/NZDPU; a global coalition of leading financial institutions with over $70 trillion in assets, founded by a cohort of world leaders.
AI & Product Leadership
Building self-improving intelligence systems through physics-based modeling and multi-agent AI.
Recent highlights: AI Insights Agent (LangChain, 10 tools, entity-specific framing), Team Spaces Copilot (large context LLM synthesis), and Analyst Desk (analyst-augmented intelligence delivery).
Climate Disclosure & Policy
Data and policy recommendations presented to the G7 Climate Change Mitigation Working Group and UNECE.
High stakes engagements include: UNFCCC, BIS-HK, MAS Singapore, AfDB, JPX, and Swiss SIF.
Strategic Growth Initiatives
Led product integration across 7 acquisitions ($5B+) spanning ESG ratings, climate risk, catastrophe modeling, and company data. Built $2B+ integrated risk stack from three strategic acquisitions.
Technical Projects
Four open-source MCP servers including a full-stack Bayesian emissions engine (MCMC, p5–p95 uncertainty quantification, NGFS scenario projections), MongoDB analytics (24 tools), knowledge management, and offline AI agent. Privacy-first, production-safe.
Research & Academia
MSc Distinction (Best Student) from University of London. PhD candidate at IST Lisbon.
Dissertation submitted to Climate Policy journal.
Learning Lab
Structured research program tracking 50+ emerging technologies across energy transition, DLT, and AI foundations.