Masato Ishii
R&D at Sony
Yokohama, Japan
Summary
🤩
Rockstar🎓
Top SchoolMasato Ishii is a senior research scientist at Sony Research with a PhD in computer science from the University of Tokyo and over a decade of experience bridging industrial R&D and academic excellence. He specializes in machine learning for image recognition, with deep expertise in transfer learning, few-shot adaptation, and generative models, and has an award-winning publication record including CVPR2023 AI4CC Best Paper. At Sony since 2019 (and previously a lead researcher at NEC), he combines hands-on model development with public education—publishing tutorials and survey videos on deep learning and diffusion models in Japanese that reach practitioners beyond academia. His work emphasizes practical adaptation of large-scale pretraining to scarce-data settings, reflecting a rare mix of theoretical rigor and applied focus.
6 years of coding experience
博士, コンピュータ科学, 博士, コンピュータ科学 at 東京大学大学院学士, 工学部, 学士, 工学部 at 東京大学
Github Skills (6)
machine-learning8
tensorflow7
deep-learning7
neural-network6
cuda3
gpu2
Programming languages (2)
Github contributions (3)
sony/nnabla-examples
Feb 2021 - Dec 2022
Neural Network Libraries https://nnabla.org/ - Examples
Contributions:1 review, 23 commits, 16 PRs in 1 year 10 months
deep-learningneural-networksmachine-learningneural-networktensorflow
sony/nnabla
Nov 2019 - Mar 2020
Neural Network Libraries
Contributions:8 commits, 1 PR, 1 push in 4 months
deep-learningneural-networksmachine-learningneural-networktensorflow
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