Yohei Yamagishi
Artificial Intelligence Researcher at AI inside 株式会社
Tokyo, Japan
Summary
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Senior🎓
Top SchoolYohei Yamagishi is an artificial intelligence researcher and data scientist based in Tokyo with eight years of industry experience building ML solutions for physics, fluid dynamics, industrial sensing and anomaly detection. He specializes in time- and space-series problems with large log-normal distributions, applying practical visualization-driven feature inspection and scalable deep learning techniques such as semi-supervised GANs to shape latent spaces for better detection of abnormal states. His background spans hands-on FPGA/DSP and embedded MCU FAE work through to machine learning engineering at GRID and AI inside, giving him uncommon fluency across hardware, signal processing and advanced ML. He holds advanced studies in information engineering and a physics undergraduate degree, which inform a principled, physics-aware approach to data. Colleagues know him for favoring simple, powerful methods that reveal manifold structure rather than inscrutable black boxes.
8 years of coding experience
3 years of employment as a software developer
修士 / Master of Engineering, 情報工学 / Computer and Information Sciences, 修士 / Master of Engineering, 情報工学 / Computer and Information Sciences at 北陸先端科学技術大学院大学 / Japan Advanced Institute of Science and Technology博士後期 / Ph.D course, 情報工学 / Information Technology, 博士後期 / Ph.D course, 情報工学 / Information Technology at 広島大学 / Hiroshima University理学部物理学科 / B.S, 原子核物理学 / Particle Physics, 理学部物理学科 / B.S, 原子核物理学 / Particle Physics at 甲南大学 / Konan UniversityGithub contributions (2)
yygr/renom_training
Nov 2017 - Jan 2018
Contributions:22 commits, 52 pushes, 1 branch in 2 months
yygr/datascience_utility
Jul 2019 - Aug 2019
Contributions:10 pushes, 1 branch in 1 month
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