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Research & Scholarship

Not just whether evidence is produced. How the ecosystem that produces it is organized.

I use network analysis, bibliometrics, and computational social science to study the structures, relationships, and institutional dynamics that shape health research—especially in global health and low-resource settings.

Program

Three connected lines of work

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.

  • Trials
  • Capacity
  • TOGETHER

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.

Now

Current scholarship

  • African AI innovation ecosystem

    Mapping research partnerships, funding flows, and institutional networks that shape AI in African health systems—including the trial-network analysis in The Lancet Regional Health — Africa (2026).

  • Science of science in global health

    Using network analysis and bibliometrics to study how global health research ecosystems are structured, where knowledge flows, and how capacity building works in practice.

  • TOGETHER Trial — long COVID follow-up

    Co-investigator on fluvoxamine and metformin for fatigue (Annals of Internal Medicine, 2026), extending the platform that evaluated repurposed COVID-19 therapies.

  • Health misinformation & trust

    HERO Lab / Counterforce AI work on information disorder in health emergencies, including social listening and MedContext multimodal detection.

Also: publication index · citation network · Counterforce AI (advisor).

Earlier

Selected past appointments

A short record of the systems this program grew out of—not a second research page.

YearsRoleOrganization
2020–2023Executive DirectorTOGETHER Adaptive Platform Trial
2022–2025Senior ResearcherMcMaster University, Health Research Methods, Evidence & Impact
2023–2025Co-founderPurpose Africa — clinical research capacity with ministries of health
2015–2020AdvisorRwanda Ministry of Health / Rwanda Biomedical Centre
2018–2024Adjunct Assistant ProfessorUniversity of Rwanda, School of Public Health
2020–2021Director of Global Health StrategyCytel Canada Health

Collaborate

Good work requires the right conditions, too.

I collaborate with global researchers, students, ministries, and industry partners working to strengthen health informatics, evidence generation, and clinical and public health research capacity, particularly in contexts where resources, infrastructure and trust are unevenly distributed.