Founder / Director
Strategy, partnerships, and lab direction.
Impact Intelligence Lab
Impact Intelligence Lab is neither a think tank alone, nor a consultancy alone, nor a software vendor alone. We are a hybrid organization: a research lab, a knowledge platform, an applied intelligence studio, and a partnership-facing team working in the public interest.
We produce open research, practical tools, geospatial products, and tailored analysis for organizations addressing climate adaptation, environmental risk, sustainability transitions, and related systems change.
Important decisions about climate and resilience are still made with fragmented data, opaque models, and tools that were never meant for public scrutiny. We exist to close that gap: rigorous methods, readable outputs, and interfaces that make evidence usable where decisions actually happen.
Our work combines structured data and remote sensing; statistical and machine-learning models where appropriate; geospatial analysis and mapping; and field insight from practitioners, communities, and partners. Every major output is designed to stand alone and to connect—reports link to data, tools link to methods, and programs link to published evidence.
To advance practical decision support for climate, resilience, sustainability, and systems change through open, rigorous, and mission-driven intelligence.
Project-based collaborations, publishable research, and reusable public tools—prioritizing transparency, reproducibility, and partner fit over generic deliverables.
Leadership and core roles. Names and profiles to be added when confirmed.
Strategy, partnerships, and lab direction.
Research design, evidence standards, and publication.
Spatial analysis, data infrastructure, and tools.
Program delivery and collaborator relationships.
We document assumptions, data sources, and limitations on research and tool pages.
Maps, dashboards, and datasets are core outputs—not illustrations for PDFs.
We scope work with NGOs, public bodies, funders, and researchers based on their decision context.
We avoid hype. We prefer clear claims, cited data, and honest uncertainty.