Jussi Ylhäisi is a data scientist with a PhD in applied climatology and eight years of experience turning climate and weather research into operational calibration systems and production-ready forecasts. He has led research-to-operations teams at the Finnish Meteorological Institute and now applies statistical calibration and reproducible Python/R tooling at Verohallinto. His work blends rigorous statistical post-processing, model evaluation and machine learning experiments to improve quantitative forecasts while keeping methods practical for operational deployment. Based in Helsinki, he also runs a diving club program teaching snorkeling and swim skills to children, reflecting a long-standing commitment to mentoring and hands-on community work. Notably, his background bridges deep climate science with pragmatic software and scripting (Python/R/bash) for robust, real-world systems.
8 years of coding experience
8 years of employment as a software developer
Iisalmen lyseo
M.Sc., Meteorology, M.Sc., Meteorology at University of Helsinki
Doctor of Philosophy (Ph.D.), Applied climatology, meteorology, Doctor of Philosophy (Ph.D.), Applied climatology, meteorology at Helsingin yliopisto
Contributions:3 PRs, 26 pushes, 5 branches in 3 years 5 months
r-packagedata-analysisstatisticalrstatstraining
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