Summary
Paul Rougieux is a freelance consultant and data scientist with 12 years of experience combining environmental economics, wood products engineering, and reproducible data workflows to tackle bioeconomy and deforestation challenges. He built and maintains open-source Python and R tools (biotrade, eu_cbm_hat, FAOSTAT) used for EU-scale forest dynamics, demand forecasting, and life-cycle footprint analyses, and has applied econometrics to international forest products and agricultural trade. Based near Stuttgart, he advises international research institutes, mentors researchers in automation and best-practice data science, and leads production-ready forecasting algorithms for wood demand and forest growth. Known for linking economic models to biophysical forest dynamics, he brings rare domain depth across policy, modelling, and field-facing engineering—combining PhD-level research with hands-on tool development and user training.
12 years of coding experience
15 years of employment as a software developer
PhD, Economics, PhD, Economics at Universite de Lorraine
MS, Wood biology and wood physics, MS, Wood biology and wood physics at University of Hamburg
Master of engineering, Wood processing, Master of engineering, Wood processing at National School of Wood Technology and Industries
English, French, German, Italian