Summary
Remko Duursma is a Research Statistician and seasoned data scientist with 13 years of experience spanning academia and private industry. Based in Almere, Netherlands, he leads data-driven, full-stack development projects, turning messy raw data into clean databases, geospatial analyses, and interactive dashboards using R and Shiny. His work blends ecological modelling with software engineering, from predictive forest carbon and water-use models to scalable data applications and training programs. He has led teams and implemented agile workflows at Shintō Labs and is currently at Centraal Bureau voor de Statistiek, while also delivering trainings for public and private organizations. Earlier in his career at Western Sydney University, he built widely adopted R tools and the hiercourse training program that sells out across Australia. He holds a PhD in Natural Resources from the University of Idaho and an MSc in Forestry from Wageningen University, underscoring a strong foundation in quantitative science and environmental data.
14 years of coding experience