Hiroshi Kajino
Principal Scientist at Axcelead Drug Discovery Partners, Inc.
Tokyo, Japan
Summary
👤
Senior🎓
Top SchoolHiroshi Kajino is a Principal Scientist based in Tokyo with 13 years of experience bridging academic machine learning research and industry application, including roles at IBM and Axcelead Drug Discovery Partners. He holds a Ph.D. in Mathematical Informatics from the University of Tokyo and has published at top AI conferences (AAAI, IJCAI, ICML, WWW), reflecting deep expertise in ML and data mining. Beyond research, he has practical experience as a data analyst working on market forecasting and has taught as a part-time lecturer at multiple universities. Currently an independent researcher and consultant, he combines rigorous theoretical grounding with hands-on problem solving in drug discovery and applied analytics. Notably, his career blends sustained academic publishing with industry research leadership, making him adept at translating novel ML methods into real-world impact.
13 years of coding experience
8 years of employment as a software developer
University of Tokyo
Github Skills (14)
tsne10
discovery9
drug-discovery9
pytorch8
graph-neural-network7
hypergraph7
machine-learning7
deep-learning7
optimization5
grammar5
python3
probabilistic3
data-science2
probabilistic-programming1
Programming languages (2)
Github contributions (5)
kanojikajino/kanojikajino.github.io
Mar 2018 - Dec 2023
Contributions:84 pushes, 1 branch in 5 years 9 months
kanojikajino/lecture
May 2018 - Oct 2020
Contributions:1 release, 46 commits, 35 pushes in 2 years 5 months
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