Higuchi Keita

Chief Research Scientist at 醸燻酒類研究所

Chiyoda, Japan
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Summary

👤
Senior
🎓
Top School
Keita Higuchi is a research scientist and HCI leader with eight years of experience bridging academic research and industry R&D, currently leading the HCI team at SB Intuitions after a multi-year research role at Preferred Networks. He holds an M.S. and Ph.D. from the University of Tokyo and has a track record of influential HCI work—papers at CHI, IUI and an ACM Siggraph Asia Emerging Technologies Prize for human-UAV interaction. His projects span remote collaboration, video-browsing interfaces, wearable multi-sensor analysis, and accessibility technologies for blind and ASD users, including applied work on blind navigation and online ML in interactive systems during a visiting term at Carnegie Mellon. He has deep experience mentoring students and running JST CREST-funded projects, and spent internships at Microsoft Research contributing to immersive telepresence systems. Beyond research roles, he co-founded a specialty brewing venture and contributes to AI research engineering in Tokyo, reflecting an entrepreneurial streak and hands-on product curiosity. Known for translating lab prototypes into real-world assistive and collaboration systems, he combines rigorous academic methods with practical deployment experience.
code8 years of coding experience
job10 years of employment as a software developer
bookDoctor of Applied Computer Science, Doctor of Applied Computer Science at 東京大学
bookBachelor of Engineering (B.E.), Computer Science:, Bachelor of Engineering (B.E.), Computer Science: at 金沢工業大学
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Github Skills (16)

loss8
parity4
deep-learning3
machine-learning3
pytorch3
java3
phonetics2
nlp2
python2
ats2
nltk1
turkish1
electra1
natural-language-processing1
lda1

Programming languages (4)

JavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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wbawakate/nobita

Mar 2021 - Aug 2021

Contributions:19 commits in 5 months
akiFQC/fairtorch

Oct 2020 - May 2021

PyTorch implementation of parity loss as constraints function to realize the fairness of machine learning.
Contributions:6 PRs, 13 pushes, 9 branches in 7 months
pytorchlotteryloss-functionsfairness-mlrealize
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