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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

  • 2021

    PhD
    University of Sydney

  • 2017

    Master
    University of Sydney

  • 2007

    Bachelor
    South China University of Technology

Current Roles

  • Research Scientist
    Family History Extraction within Precision Health Future Science Platform

Professional Experiences

  • 2021-Dec-2023-Aug

    Postdoc
    CSIRO Data61

  • 2021-Feb-2021-Dec

    Postdoc
    University of Copenhagen

Attachments

We have publications by Dr Xiang Dai