Takuya Sasatani
Assistant Professor at The University of Tokyo
Tokyo, Japan
Summary
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Rockstar🎓
Top SchoolTakuya Sasatani is an Assistant Professor at the University of Tokyo with eight years of experience advancing wireless technologies, sensor systems, and neural interfaces. He bridges rigorous academia and industry — from Disney Research and Sony to postdoctoral work at UCLA Neurology — developing low-power communication, long-range wireless power transfer, and wireless neural recording/stimulation devices. His work has appeared in Nature Electronics, IEEE journals and top mobile/HCI venues, earning awards such as MIT Technology Review’s Innovators Under 35 Japan and Forbes 30 Under 30 Asia. He also contributes to open-source ML infrastructure (notably backend development for Sony’s NNabla neural network library), combining hardware-first research with practical software engineering. Notably, his projects aim to expand both physical wireless coverage and our ability to probe brain function, reflecting a rare mix of systems-level RF expertise and neurotechnology.
8 years of coding experience
6 years of employment as a software developer
University of Tokyo
Japanese, English
Github Skills (10)
neural-network10
machine-learning10
develop10
tensor10
c-language10
tensorflow10
cprogramming-language10
python10
graph-theory8
test-automation7
Programming languages (3)
Github contributions (5)
sony/nnabla
Jun 2017 - Dec 2022
Neural Network Libraries
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:5 releases, 838 commits, 338 PRs in 5 years 6 months
Contributions summary:Takuya's contributions primarily involved enhancing the core functionality of the neural network library, "Neural Network Libraries" (NNabla). The user implemented new functions, optimized existing ones, and ensured the library's robustness through bug fixes. The work included significant contributions to the underlying codebase and the development of features. The user also performed tests and validation, and modified existing examples to use a new function.
deep-learningneural-networksmachine-learningneural-networktensorflow
sony/nnabla-ext-cuda
Jun 2017 - Nov 2022
A CUDA Extension of Neural Network Libraries
Contributions:3 releases, 263 commits, 177 PRs in 5 years 5 months
cudagpuneural-network
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