Mikko Impiö
Researcher at Finnish Environment Institute (SYKE)
Helsinki Metropolitan Area Finland
Summary
👤
Senior🎓
Top SchoolMikko Impiö is a machine learning researcher and PhD candidate at the Finnish Environment Institute (SYKE) with nine years of experience applying ML to remote sensing and environmental data. He progressed from thesis work on machine learning in remote sensing to research and visiting researcher roles, blending academic rigor with applied research at institutions including Tampere University and University of Duisburg-Essen. His background includes industry research internships at Vaisala and Intel, giving him practical exposure to imaging and meteorological applications. Based in the Helsinki region, Mikko focuses on translating complex environmental signals into actionable insights using ML, often working at the intersection of imaging, remote sensing and environmental science. Colleagues describe him as a researcher who bridges theoretical methods and field-relevant solutions, and his trajectory suggests a strong aptitude for turning prototype models into operational research tools.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Master of Science - MS at Tampere UniversityHigh School, High School at Kokkolan yhteislyseon lukio
German, Swedish, Finnish, English
Github Skills (16)
meta-learning7
feature-selection6
machine-learning4
hyperparameter-tuning4
scikit4
scikit-learn4
python4
automated-machine-learning4
feature-engineering4
insects4
hierarchical4
automl3
hyperparameter-optimization3
data-science3
django1
Programming languages (3)
Github contributions (5)
mikkoim/ECG-CS
Jan 2021 - Dec 2021
Contributions:6 commits, 5 pushes, 1 branch in 11 months
mikkoim/taxonomist
Apr 2023 - Mar 2025
Image classification pipeline for natural sciences
Contributions:48 pushes, 3 branches, 1 issue in 1 year 11 months
species-classificationspecies-identification
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