Okko Räsänen is a Professor and leader of the Speech and Cognition research group at Tampere University, specializing in computational self-learning systems that extract meaningful, predictive representations from multisensory input. With over a decade of academic and entrepreneurial experience, he blends theoretical work on infant language acquisition and unsupervised representation learning with practical analytics across speech, EEG/MEG, accelerometer, energy, and financial datasets. He has held research and visiting positions at Aalto and Stanford, served as an Academy Research Fellow, and co-founded a startup commercializing doctoral research into predictive analytics for industry. His work is notable for bridging cognitive science and signal processing—using real-world sensor streams to model how language and perception emerge without supervision. Based in Tampere, Finland, he combines deep domain expertise in spoken language processing with hands-on system-building across diverse sensor modalities.
10 years of coding experience
16 years of employment as a software developer
Doctor of Science (tech.) Language technology, Doctor of Science (tech.) Language technology at Aalto University
M.Sc. (tech.) Language technology electrical engineering leadership and work psychology, M.Sc. (tech.) Language technology electrical engineering leadership and work psychology at Teknillinen korkeakoulu-Tekniska högskolan
Contributions:6 commits, 5 pushes, 1 branch in 4 years 8 months
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