If your health system isn't converting data into decisions, this is the work I do.
- Designs M&E frameworks that convert programme data into strategic decisions, not just reports.
- Led disease surveillance for Mpox across 27 LGAs in Imo State, co-authoring a peer-reviewed publication on the findings.
- Builds digital health systems that close the gap between data collection and decision-making at WHO Nigeria.
- Pursuing a PhD at Euclid University while writing on digital health, surveillance, and African health systems.
Areas of Expertise
Digital Health Systems
Implementing technology-driven solutions that strengthen health systems: from digital surveillance infrastructure to data-powered M&E tools deployed at national scale.
M&E That Drives Change
Designing M&E frameworks at WHO that move beyond compliance, linking indicators directly to programme decisions and tracking outcomes that matter.
Outbreak Surveillance
Building and operating real-time surveillance systems for infectious disease detection, turning early signals into coordinated response before outbreaks scale.
Education
PhD (In Progress)In Progress
Euclid University
Master of Public Health (MPH)
Texila American University Consortium
B.Sc. Public Health
Babcock University, Nigeria
How I Work
The Data-to-Action Compression Model
A three-phase approach developed across WHO programmes and outbreak response, for compressing the distance between health data and the decisions that improve outcomes.
Phase 1
System Clarity
Diagnose the gap.
Map what data the system is generating, what decisions need to be made, and where the disconnect lives. Most failures begin here: not with bad data, but with no clear line from data to decision.
Phase 2
Structural Alignment
Align people, systems, and process.
Redesign the M&E or surveillance architecture so that data flows to the right people at the right time. This is stakeholder alignment, workflow redesign, and system configuration. Not just tools.
Phase 3
Execution at Scale
Deliver measurable outcomes.
Implement with discipline: training, data quality protocols, feedback loops, and dashboards that stakeholders actually use. Measure the outcome, not just the output, and course-correct in real time.
Applied across M&E design at WHO Nigeria, Mpox surveillance across 27 LGAs in Imo State, and community health programme evaluation at LiveWell Initiative.