Hideaki Joko
Applied Scientist at Thomson Reuters
Nijmegen, Gelderland, Canada
Summary
👤
Senior🎓
Top SchoolHideaki Joko is an applied scientist and NLP/IR researcher with nine years of industry and academic experience, currently completing a PhD at Radboud University while serving as a visiting scholar at the University of Waterloo and an applied scientist at Thomson Reuters. He has a strong track record translating research into production impact—driving cost-saving error-diagnosis tools and deployable Transformer models at Mitsubishi Electric and Signal AI—and holds multiple patents and awards. His research contributions include SIGIR and CIKM publications on conversational search and entity linking, and a SIGIR 2024 first-author paper from a cross-university collaboration that ranked in the top 5% of downloads. Comfortable moving between rigorous evaluation of large language models and product-focused engineering, he blends deep academic rigor with practical deployment experience across legal and industrial domains.
8 years of coding experience
9 years of employment as a software developer
University of TokyoBachelor of Engineering - BE, Applied Mathematics, Bachelor of Engineering - BE, Applied Mathematics at Waseda University
Japanese, English
Github Skills (24)
rel9
entity8
conversations7
nlp6
linker6
generative6
lm5
retrieval4
allennlp4
prompt4
deep-learning3
record-linkage3
machine-learning3
entity-linking2
llm2
Programming languages (1)
Github contributions (5)
informagi/conversational-entity-linking-2022
Apr 2022 - Nov 2022
CREL: Personal Entity, Concept, and Named Entity Linking in Conversations
Contributions:45 commits, 26 pushes in 6 months
nlpnamed-entity-linkingentityentity-linkingconversations
informagi/conversational-entity-linking
Mar 2021 - Apr 2022
Contributions:35 commits, 30 pushes in 1 year 1 month
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