Onerva Korhonen
Senior Research Fellow at Tampere University
Tampere, Pirkanmaa, Finland
Summary
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Senior🎓
Top SchoolOnerva Korhonen is a Senior Research Fellow with nine years of experience modelling human brain function using multilayer, temporal and dynamic network methods. Based at Tampere and active across leading European labs, she develops and implements Python and Matlab toolchains for optimized, time-varying node definitions in fMRI, EEG and MEG data and applies these models to tasks, social interaction and disease-related network disruption. Her work bridges computational theory and practical neuroimaging preprocessing, with a recurring focus on how within-area functional homogeneity and structural constraints shape network dynamics. She has translated network methods across domains—from tree xylem flow to brain networks—demonstrating a knack for cross-disciplinary modeling and science communication.
9 years of coding experience
6 years of employment as a software developer
Doctor of Science Computational Science, Doctor of Science Computational Science at Aalto University
Finnish, English, German, Spanish, Swedish, Russian, Estonian
Github Skills (1)
graph2
Programming languages (3)
Github contributions (5)
onerva-korhonen/tree-percolation
Sep 2023 - Apr 2025
Contributions:162 pushes, 3 branches in 1 year 6 months
onerva-korhonen/climate-companions-bipartite
May 2018 - Feb 2022
Code for investigating the even co-participation based bipartite graph structure in the Ilmastokumppanit (Climate Companions) city-to-business network. Should be applicable also to other bipartite module analyses.
Contributions:61 pushes, 1 branch, 22 comments in 3 years 10 months
climateanalysesstructure-graphgraphbusiness-network
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