Studies and data work, not just the one dissertation. Status is marked honestly: what is finished, what is ongoing, and what is a concept demo.
A 387-respondent study finding that health workers in Buea are not resistant to AI. They are under-trained and under-equipped, and they know it.
A statistical breakdown of which routine clinical signs actually separate high-risk pregnancies from low-risk ones.
Read the case study→A working dashboard for mapping post-abortion care complications across Buea, built to show what an observatory could look like before anyone collects a single real record.
Read the case study→My investigative inquiry centres on the gap between what a clinical algorithm promises in the laboratory and what a rural or district hospital ward can actually operate with intermittent electrical grids and 2G connectivity.
Machine learning for risk triage, obstetrics emergency scoring, and bedside error prevention.
DHIS2 automated integration, electronic register synchronization, and data completeness auditing.
Empirical measurement of health worker attitudes, digital literacy, and structural institutional barriers.
Interested in academic collaboration, joint peer review, or postgraduate mentorship?
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