Juho Iipponen is a Quantitative Meteorologist with 12 years of experience blending environmental science, numerical modeling and software development to deliver actionable weather products for energy trading. Currently at bp, he designs quantitative forecasts and explores ensemble calibration and AI-driven models to improve gas and power trading decisions, drawing on prior startup experience where he improved CFD coupling accuracy by roughly one third. His PhD work with Princeton and NOAA GFDL underpins strong expertise in large-scale atmospheric dynamics and rigorous data-driven methodologies. Comfortable translating complex model output into stakeholder-ready insights, he bridges traders, fundamentals modelers and operational meteorologists to ensure forecasts are both precise and practical. Outside work he stays hands-on with programming and computational tools, reflecting a continuous curiosity for improving forecasting systems.
11 years of coding experience
9 years of employment as a software developer
Master of Science - MS, Dynamic Meteorology, 5/5, Master of Science - MS, Dynamic Meteorology, 5/5 at University of Helsinki
Doctor of Philosophy - PhD, Atmospheric and Oceanic Sciences, Doctor of Philosophy - PhD, Atmospheric and Oceanic Sciences at Princeton University
Contributions:57 commits, 1 PR, 44 pushes in 1 year 5 months
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