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Biography
Xiang Dai is currently a research scientist at CSIRO Data61. His research interests lie in natural language processing, deep learning, and digital health. Some topics he focuses on include extracting entities and their relations from the unstructured text; pre-training domain-specific language representation models; building document-level models that can handle long sequence inputs; and, applying NLP techniques to the medical domain.
More details can be found at http://iang.io/
Academic Qualifications
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2021
PhD
University of Sydney -
2017
Master
University of Sydney -
2007
Bachelor
South China University of Technology
Current Roles
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Research Scientist
Family History Extraction within Precision Health Future Science Platform
Professional Experiences
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2021-Dec-2023-Aug
Postdoc
CSIRO Data61 -
2021-Feb-2021-Dec
Postdoc
University of Copenhagen
Attachments
We have publications by Dr Xiang Dai