Consulting & Advisory
Bryan Tegomoh, MD, MPH advises public health agencies, funders, and health technology teams working on AI for surveillance, forecasting, policy, and population health practice. Engagements are evidence-centered and non-promotional, with emphasis on epidemiologic validity, operational fit, governance, equity, and public trust.
The linked chapters below provide the public evidence base for the advisory areas where focused review is most appropriate.
Advisory Scope
For public health agencies, funders, and health technology teams, advisory work is most appropriate when a decision requires epidemiologic judgment, operational realism, and governance-aware AI evaluation:
- Disease surveillance and outbreak detection for digital surveillance, early-warning systems, and multi-source signal review
- Epidemic forecasting for model selection, uncertainty communication, and scenario-planning decisions
- AI system evaluation for validation plans, performance metrics, and post-deployment monitoring
- Privacy, security, and governance for data-sharing, public trust, and deployment safeguards
- AI policy and governance for model policy, institutional review, and public health program design
Advisory work is independent. It does not imply endorsement of a product, organization, or public claim.
For advisory, speaking, or workshop inquiries, email bryan.tegomoh@gmail.com with the organization, decision context, and any relevant materials.