I work on health information and data science at the WHO Regional Office for the Western Pacific. My focus is turning routine health data into decision-relevant intelligence — through indicator monitoring, reproducible analytical workflows in R, and data visualization.
I’m the author of DSIR, an R package for global-health data work that provides unified access to the WHO Global Health Observatory and UN SDG indicator APIs, along with WHO-style ggplot2 and flextable themes for consistent reporting.
I hold a PhD in microbiology and came to data science through public health. This blog is where I share notes on R, WHO and SDG data workflows, and the small tools I build along the way.
The views expressed on this blog are my own and do not necessarily reflect those of my employer.