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 Signal Processing and Machine Learning, Master of Science - MS Signal Processing and Machine Learning at Tampere University
German, Swedish, Finnish, English
Github Skills (19)
retrieval9
feature-extraction9
clip9
meta-learning8
command-line-tool6
hyperparameter-tuning6
computer-vision6
random-forest6
automl6
automated-machine-learning6
earth-observation6
hierarchical5
hyperparameter-optimization4
scikit-learn4
image-classification3
Programming languages (3)
Github contributions (5)
mikkoim/dinotool
Apr 2025 - Jun 2026
Command-line tool for extracting DINO, CLIP, SigLIP2, TIPSv2, RADIO, features for images and videos
Contributions:4 releases, 3 PRs, 13 pushes in 1 year 2 months
command-line-toolcomputer-visionfeature-extractionretrievalclip
mikkoim/ECG-CS
Jan 2021 - Dec 2021
Contributions:6 commits, 5 pushes, 1 branch in 11 months
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