Heishiro Kanagawa is a Principal Researcher with 8 years’ experience fusing probabilistic machine learning and statistical modelling into real-world systems across industry and academia. With a PhD from UCL’s Gatsby Unit and publications at NeurIPS, ICML and JRSS-B, he has applied generative and inference techniques to problems ranging from memory modelling at Facebook Reality Labs to cross-domain recommendation systems at Yahoo! JAPAN. He recently transitioned from a postdoctoral role at Newcastle University to research leadership at Fujitsu Research, bringing both theoretical rigor and hands-on implementation experience. Known for turning advanced probabilistic ideas into deployable algorithms, he has a track record of publishing and shipping research-tested solutions. Fluent in both academic and product-oriented environments, he thrives on bridging novel theory with measurable impact.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Machine learning, Master of Science - MS, Machine learning at Tokyo Institute of Technology
Contributions:11 pushes, 1 branch in 1 year 1 month
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Heishiro Kanagawa - Principal Researcher at Fujitsu Research