Shuhei Yoshida
Researcher at BlocQ, Inc.
Yokohama, Japan
Summary
👤
Senior🎓
Top SchoolShuhei Yoshida is a machine learning researcher with a Ph.D. in physics from The University of Tokyo and a decade of experience applying deep learning to computer vision. He has held research roles at NEC and the RIKEN-AIP–NEC collaboration before joining BlocQ, bringing a strong blend of experimental ML practice and theoretical curiosity. His background in physics informs a principled approach to modeling and problem formulation, often favoring interpretable and theoretically grounded solutions. As "Shuhei M. Yoshida" in publications, he maintains a distinct academic footprint while transitioning research into applied vision systems. Based in Yokohama, he combines industry and fellowship experience (JSPS) to bridge foundational research and real-world deployment. Known for pursuing theoretical aspects alongside applied work, he often explores the mathematical underpinnings that improve model robustness and generalization.
10 years of coding experience
7 years of employment as a software developer
University of Tokyo
Github Skills (40)
latex9
python8
dance8
linter8
video-understanding7
machine-learning7
bibtex7
textlint7
typesetting7
atom-plugin6
keras6
markdown-it6
deep-learning6
biblatex6
pytorch6
Programming languages (6)
Github contributions (5)
yoshum/daily-research-news
Oct 2019 - Nov 2019
Contributions:32 commits, 129 pushes, 3 branches in 1 month
yoshum/issue-to-jekyll-post
Oct 2019 - Jan 2021
generate a jekyll post from an issue
Contributions:6 releases, 12 PRs, 28 pushes in 1 year 2 months
jekyll
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