Nao Tokui
Founder CEO at Keio University
Chiyoda, Japan
Summary
👤
Senior🎓
Top SchoolNao Tokui is a multidisciplinary technologist, artist, and entrepreneur who fuses AI research with music and media, currently guiding AI for audio creators as Founder/CEO of Neutone and as an Adjunct Associate Professor at Keio University. He earned his PhD in Electrical and Electronics Engineering from the University of Tokyo in 2009 and founded Qosmo, Inc., the AI Creativity and Music Lab, a venture whose outputs have toured galleries and major venues. Qosmo’s AI-driven performances have been showcased at MoMA, the Barbican, and festivals like MUTEK and Sónar, exemplifying his ability to translate complex tech into public-facing art. At Neutone, he leads the development of tools that empower audio creators with AI while maintaining a strong research and academic orientation. His career also spans research roles at Sony Computer Science Laboratory Paris and leadership in academia, reflecting a rare blend of industrial and scholarly rigor. Based in Tokyo’s Chiyoda, Tokui brings a global sensibility and hands-on creative engineering to turning ambitious AI ideas into practical, expressive technologies.
14 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Electrical and Electronics Engineering, Doctor of Philosophy (PhD), Electrical and Electronics Engineering at 東京大学 / The University of Tokyo
English, Japanese
Stackoverflow
11reputation
1kreached
0answers
1question
Github Skills (86)
python10
ui-components10
gradio-interface10
dance10
variational-autoencoder10
autoencoder10
midi10
audio10
data-visualization10
music10
machine-learning10
deep-learning9
gradio9
music-generation9
pytorch9
Programming languages (7)
Github contributions (5)
naotokui/CreativeGAN-Rhythm
Jul 2019 - Feb 2021
Creative Adversarial Network for generating Dance Music Rhythm Patterns
Contributions:79 commits, 51 pushes, 6 branches in 1 year 7 months
pytorchmusic-generationdeep-learningadversarialdance
naotokui/SpectrogramVAE
Nov 2018 - Dec 2020
TensorFlow implementation of a VAE for encoding spectrograms
Contributions:12 commits, 12 pushes in 2 years
vaespectrogramstensorflowencoding
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