Michael Cochez
Principle Investigator
Finland
Summary
👤
Senior🎓
Top SchoolMichael Cochez is a research-driven machine learning and structured-data specialist with over a decade of experience bridging academia, applied research, and entrepreneurship. He holds a doctorate in Mathematical Information Technology and has progressed from hands-on projects at the University of Jyväskylä and Fraunhofer FIT to academic leadership roles as Assistant Professor, Full Professor, and Principal Investigator at ELLIS Institute Finland and Åbo Akademi. His work spans knowledge graphs, ontology learning, embeddings, multi-agent systems and scalable clustering, and he translates these research strengths into practical tools through his company Graphino.nl. Known for combining rigorous theoretical foundations with real-world collaborations (including industry partners like Nokia) he also supervises and teaches across master and doctoral levels. Based in Finland, he brings a rare blend of deep semantic-ML expertise, long-term research continuity, and entrepreneurial drive.
11 years of coding experience
6 years of employment as a software developer
Doctor, Mathematical Information Technology, Doctor, Mathematical Information Technology at University of JyväskyläBachelor, Information Science, Bachelor, Information Science at Universiteit Antwerpen
Dutch, English, Finnish, French, German
Github Skills (118)
adafruit10
arduino-library10
fingerprint10
editor10
sensor10
electron10
typescript10
visual-studio-code10
arduino10
spotify9
docker-image9
microsoft9
evolutionary-algorithms9
snapcraft8
uri8
Programming languages (16)
Github contributions (5)
miselico/graph_query_sampler
Apr 2022 - May 2022
Implementation of graph query sampling
Contributions:1 review, 82 commits, 41 PRs in 27 days
graph-query
miselico/miselico.github.io
Feb 2020 - Feb 2026
Contributions:43 pushes in 6 years 1 month
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