Ryo Yonetani
Senior Research Scientist at CyberAgent, Inc.
Tokyo, Japan
Summary
👤
Senior🎓
Top SchoolRyo Yonetani is a senior research scientist based in Tokyo with 11 years of experience at the intersection of academic AI research and industry R&D. Currently at CyberAgent, he previously led research teams as Principal Investigator at OMRON SINIC X and held academic posts including assistant professor at the University of Tokyo and visiting scholar at Carnegie Mellon. He holds a PhD in Information Science from Kyoto University and is skilled at translating advanced machine learning research into practical systems and products. Ryo’s career blends deep theoretical expertise with hands-on experimentation and team leadership across corporate and university settings. Notably, he has navigated both long-term academic projects and fast-paced industrial innovation, signaling an ability to bridge rigorous research with deployable solutions. His public portfolio and GitHub-hosted site reflect a commitment to open dissemination of research and reproducible code.
11 years of coding experience
10 years of employment as a software developer
博士, Information Science/Studies, 博士, Information Science/Studies at 京都大学
English, Japanese
Github Skills (22)
astar10
flux10
pytorch9
diffusers9
stable-diffusion9
diffusion-models9
image-generation9
deep-learning9
audio9
multi-agent8
text2image8
dataset-generation8
jax7
tfrecord6
federated-learning4
Programming languages (2)
Github contributions (5)
omron-sinicx/jaxmapp
Feb 2022 - Dec 2022
JAX-based implementation for multi-agent path planning (MAPP) in continuous spaces.
Contributions:59 commits, 15 PRs, 27 pushes in 10 months
jaxmulti-agentmapfdeep-learning
omron-sinicx/neural-astar
Jun 2021 - Jan 2023
Official implementation of "Path Planning using Neural A* Search" (ICML-21)
Contributions:1 review, 49 commits, 13 PRs in 1 year 7 months
pytorchpath-planningdeep-learningicmlastar-search
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