Xiang Dai
Research Scientist at CSIRO
Australia
Summary
👤
Senior🎓
Top SchoolXiang Dai is a research scientist at CSIRO Data61 with nine years of experience specialising in natural language processing, deep learning, and digital health. He focuses on extracting entities and relations from unstructured text, pre-training domain-specific language models, and designing document-level architectures that handle very long sequences, with a strong emphasis on medical NLP applications. His trajectory includes postdoctoral roles in Europe and industry research internships, reflecting a blend of rigorous academic training (PhD in NLP from the University of Sydney) and applied research. Notably, he has moved from early software engineering roles in PHP and C# into advanced NLP research, bringing practical engineering sensibilities to model development and deployment. Based in Australia, Xiang combines deep technical expertise with domain awareness to translate complex clinical text challenges into deployable NLP solutions.
9 years of coding experience
9 years of employment as a software developer
The University of SydneyBachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at South China University of Technology
Chinese, English
Github Skills (6)
entity5
named-entity-recognition3
nlp3
sequence-labeling3
natural-language-processing3
exhaustive3
Programming languages (1)
Github contributions (5)
dainlp/acl2020-transition-discontinuous-ner
Apr 2020 - Sep 2021
Contributions:14 commits, 13 pushes, 1 branch in 1 year 5 months
daixiangau/daixiangau.github.io
Jan 2018 - Nov 2019
Contributions:217 pushes, 1 branch in 1 year 10 months
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