DHIS2 Implementation Adviser & Data Scientist
Ten years building health information systems across global health programs. I write code to make data useful — from DHIS2 apps to epidemiological analysis in R. Based in Geneva, working everywhere.
00 — Portfolio Timeline
01 — DHIS2 Apps
React applications built on the DHIS2 App Platform for visualizing health data, exploring tracker events, and surfacing program insights.
02 — R with the DHIS2 API
Using R to connect, extract, and analyse data from DHIS2 — from network graphs of COVID surveillance to tracker data workflows.
R · igraph
Mapping COVID-19 transmission networks via DHIS2 case surveillance data.
R · DHIS2 API
Automate DHIS2 program indicator creation at scale using the metadata API.
R · RMarkdown
Analysing DHIS2 user login patterns and dashboard engagement via the API.
R · ggplot2
Sankey and flow diagrams for patient pathways through DHIS2 Tracker programs.
03 — Epidemiology
Academic and applied epidemiology: from my MSc thesis to survival analysis and reproductive health surveillance in Palestine.
MSc Thesis
Epidemiological research presented as an interactive report with embedded analysis.
Epidemiology · eRegistry
Reproductive health indicators from Palestinian eRegistry. Linked to published papers.
R · Survival Analysis
Kaplan-Meier and Cox regression models for time-to-event outcomes in health data.
04 — TidyTuesday
Weekly data visualization challenges in R. A growing collection of #TidyTuesday submissions exploring ggplot2, data storytelling, and visual design.
TidyTuesday
Selected favorites from weekly challenges.
TidyTuesday
Proportional composition using waffle and mosaic plots.
TidyTuesday
Density distributions across groups using ggridges.
TidyTuesday
Choropleth and point maps with sf and ggplot2.
05 — Blog
Long-form pieces on public health data, heat-health early warning systems, and cancer registry infrastructure.