Sijin Wang

Sijin Wang

School of Social Sciences

Faculty of Arts, Business, Law and Economics


Sijin Wang is a Level B Postdoctoral Researcher at the University of Adelaide, working under the leadership of Professor Emma Baker. Her research focuses on the intersection of housing and health, leveraging cutting-edge techniques in Generative AI and Large Language Models (LLMs) to address complex societal challenges.Before joining University of Adelaide, she was a Ph.D. candidate at the University of New South Wales, specializing in deep learning and large language models applied to finance. Her research has been accepted at top conferences, including the Financial Management Association (FMA), the American Accounting Association (AAA), and the Strategic Management Society (SMS).She used to work as the course administrator and tutor for the Big Data Management course at UNSW, She have demonstrated significant ability in curriculum design and course coordination. Over the past two years, She has assisted all aspects of course logistics, including scheduling, resource allocation, and student communications, achieving an average satisfaction rate of 5.10/6.0. She also collaborated with industry partners and academic colleagues to ensure the curriculum remains aligned with the latest industry trends.

Sijin Wang is a Postdoctoral Researcher at the Australian Centre for Housing Research. Her work bridges artificial intelligence and the social sciences, with a strong emphasis on applying Graph Neural Networks and Large Language Models to explore human behaviour, social determinants of health, and the dynamics of real estate markets.

  • Appointments

    Date Position Institution name
    2025 - ongoing Postdoctoral Fellow University of Adelaide
    2024 - 2025 Board Advisor for Artificial Intelligence Arcanite
    2021 - 2024 Course Administrator UNSW Sydney
    2020 - 2021 Research Assistant University of Sydney
    2018 - 2019 Teaching Assistant Macquarie University
  • Awards and Achievements

    Date Type Title Institution Name Country Amount
    2022 Award Goldstar Award University of NSW Australia -
  • Education

    Date Institution name Country Title
    2021 - 2025 UNSW Sydney Australia Doctor of Philosophy (Ph.D.)
    2018 - 2019 Macquarie University Australia Master of Research (M.Res.)
    2015 - 2017 Australian National University Australia Master of Applied Finance
    2010 - 2014 Beijing University of Technology China Bachelor of Information of Computing Science
  • Research Interests

  • Conference Items

    Year Citation
    2024 Wang, S., Liu, C., & Liang, C. J. (2024). Uncertain waits and stock market reaction: evidence from China. Poster session presented at the meeting of American Accounting Association Annual Meeting 2024.
    2024 Balasubramanian, P., Nygaard, K., & Wang, S. (2024). The CEO’s parenthood, risk attitudes, and firm-level risk-taking. Poster session presented at the meeting of Strategic Management Society Annual Conference 2024..
    2023 Wang, S., Zhang, H., Xin, C., & Yao, J. (2023). A Heterogeneous Information Network Based Recommendation System for Identifying Syndication Partner in Venture Capital Industry. Poster session presented at the meeting of Financial Management Association Annual Meeting 2023.

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