Portfolio · Government Digital Services & Decision Science
Product Leader · Global Health Economist · Decision Scientist
I build decision-support tools that help governments, funders, and program officers allocate scarce resources more fairly — particularly when evidence is incomplete and the people affected have the least power to influence the decision. 10+ years directing $200M+ in resource allocation for USAID, UNDP, and UKAID across West Africa and the United States.
Featured Work
Production-ready decision-support tools for SNAP program officers, Medicaid administrators, and global health funders. Each generates a downloadable McKinsey-style PDF policy report.
State-level coverage risk scoring for all 50 US states. Identifies where Medicaid access pressure is highest across insurance gaps, cost burden, income capacity, and rural reach — with structured policy briefs and priority-band classification.
For: State Medicaid officers · Federal policy teams
Open Tool →Proactive SNAP and food security vulnerability targeting. Identifies communities at highest risk before they reach crisis point — with structured policy briefs, plain-language regional insights, and immediate recommended actions per area.
For: SNAP outreach coordinators · State food security teams
Open Tool →Need-based government budget distribution across regions. Generates a ministerial-grade decision brief with risk flags, implication analysis, and immediate action steps — designed for program directors managing benefits delivery cycles.
For: Government program directors · Budget administrators
Open Tool →Cost-effectiveness decision tool for global health funders. Models cost-per-life-saved across malaria, nutrition, and social protection interventions — with sensitivity analysis and bottom-line funding prioritization recommendations.
For: Global health funders · USAID · Gates Foundation officers
Open Tool →Additional Tools
Supporting tools covering global health data pipelines and supply chain optimisation.
Research & Writing
Public-facing research applying cost-effectiveness frameworks to real funding decisions in global health.
The same budget that saves 80 lives through cash transfers saves 220 through ITNs. A cost-effectiveness framework comparing malaria interventions across Sub-Saharan Africa — with sensitivity analysis, funding prioritization, and an honest account of where the model breaks down.
Read on LinkedIn →About the Work
Every tool in this portfolio was built to answer one question:
what do you do when evidence is incomplete, resources are limited,
and a decision still has to be made?
I have spent a decade building frameworks for exactly that situation —
across international development programs in West Africa, safety net
benefits delivery in the United States, and global health funding decisions
reaching millions of underserved people. These tools are the public-facing
expression of that work. Contributions to this body of work formed the
basis of a successful EB1-A Extraordinary Ability petition — approved by
U.S. Citizenship and Immigration Services in 2024.