Tarn Duong
Geospatial Statistical Research Scientist
Greater Paris Metropolitan Region France
Summary
👤
Senior🎓
Top SchoolTarn Duong is a geospatial statistical research scientist with 17 years of experience applying computational statistics to real-world problems, from biomarker discovery and image-based cellular localisation to ride-sharing analytics and traffic flow mapping. He develops new statistical estimators and implements them—primarily in R—bridging rigorous mathematical reasoning with production-ready code. As a freelance researcher and former lead geospatial data scientist, he has led teams and partnered with institutions such as AXA France and the Paris Brain Institute, and co-authored a specialist book on multivariate kernel smoothing. Based in Greater Paris, Tarn combines deep academic training (PhD in Statistics) with pragmatic product-oriented work, often translating GPS and multivariate data into actionable spatial insights. An understated strength is his consistent movement between microscopy-scale biomedical research and city-scale mobility analysis, showing rare versatility across scales and domains.
17 years of coding experience
14 years of employment as a software developer
PhD, Statistics, PhD, Statistics at The University of Western AustraliaGithub contributions (1)
cran/ks
Oct 2008 - Nov 2022
Contributions:104 commits in 14 years 3 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.