01
Global health & health systems
How institutions, policies, and data flows shape population health. This includes nearly five years advising Rwanda’s Ministry of Health and co-leading the Rwanda Health Analytics Platform across 500+ facilities—and a social-network analysis of AI diagnostic trial networks in sub-Saharan Africa that found complete structural fragmentation, with no institutional bridges between trials.
- Health systems
- Rwanda
- Science of science
02
Clinical research capacity
The human, institutional, and technical infrastructure that makes rigorous trials possible where they have historically been scarce. As Executive Director of the TOGETHER Adaptive Platform Trial, I oversaw more than 12 candidate therapies across more than 12,000 patients at 22 sites in six countries. Purpose Africa continues that capacity work with ministries of health.
03
Digital health & applied data science
The methods: network analysis, bibliometrics, and computational social science, applied both to health problems and to the research enterprise itself. This includes Counterforce AI social-listening tools and the MedContext multimodal misinformation detector (91.4% on Med-MMHL)—and the toolkit for studying how knowledge actually flows.
- Network analysis
- AI
- Misinformation
The same questions run through all three: where knowledge flows (or fails to), who holds power in the partnership architecture, and whether low- and middle-income countries are partners—not just research sites—in the discoveries that affect their health. I bring that framing into the MSHI program at Northeastern, training informatics leaders who can study and improve the systems that produce evidence, not only use the data.