About me
I’m a multidisciplinary data scientist and life-science researcher specialising in spatial analysis, environmental health, and quantitative modelling. For over 10 years, I’ve integrated and analysed large, multi-source datasets (health, vaccination, environmental and biodiversity data) across scales—from local to 100+ countries—to quantify patterns, inequalities, and change over time. My work combines reproducible workflows and statistical/ML methods in R (sf, raster, ggplot2, tmap, leaflet), alongside Python, SQL, and Git, to support rigorous inference and clear communication.
My mission is to strengthen the evidence base at the biodiversity–environment–health interface and translate it into actionable insight for public health and conservation. I’ve collaborated with academic and policy-facing partners (including Imperial College London, WHO, Gavi, and BMGF) on interdisciplinary projects that inform strategy and decision-making.