Lauri Kurki

Machine Learning Specialist at Finnish Meteorological Institute - Ilmatieteen laitos

Helsinki, Finland
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Summary

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Senior
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Top School
Lauri Kurki is a Machine Learning Specialist based in Helsinki with eight years of experience applying AI and computer vision to physics and materials imaging. As a doctoral researcher at Aalto University he developed ML tools for interpreting scanning probe and atomic force microscopy images, turning noisy experimental data into actionable sample recognition. He has bridged research and industry through roles at Vaisala—working on deep learning for weather nowcasting and probability calibration—and now at the Finnish Meteorological Institute, focusing on operational ML for atmospheric applications. Comfortable with Python and scientific computing, he also has hands-on experience building algorithms for defense research and predictive models for catalytic systems during his studies. Lauri combines academic rigor with production-oriented model development, often tackling noisy, low-data imaging problems that require bespoke computer-vision solutions.
code8 years of coding experience
job5 years of employment as a software developer
bookA Level, A Level at Helsinki School of Natural Sciences
bookMaster of Science - M.Sc. Materials Research - Computational Materials Science, Master of Science - M.Sc. Materials Research - Computational Materials Science at University of Helsinki
languagesFinnish, English, Swedish
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Github Skills (3)

atomic9
microscopy9
computer-vision1

Programming languages (3)

TeXJupyter NotebookPython

Github contributions (5)

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Probe-Particle/PPSTM

Jun 2022 - Dec 2022

Code simulating variousSTM techniques, especially for tilting tip (dependent on https://github.com/Probe-Particle/ppafm)l)
Contributions:5 reviews, 16 commits, 10 PRs in 6 months
techniquestip
LauriKurki/molecule-net

Nov 2024 - Mar 2025

Molecule predictions from SPM images
Contributions:17 PRs, 77 pushes, 21 branches in 3 months
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Lauri Kurki - Machine Learning Specialist at Finnish Meteorological Institute - Ilmatieteen laitos