Mrs Sijin Wang
Grant-Funded Research Fellow
Office of Education, Behavioural and Social Sciences
College of Education, Behavioural and Social Sciences
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.
| 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 |
| Date | Type | Title | Institution Name | Country | Amount |
|---|---|---|---|---|---|
| 2022 | Award | Goldstar Award | University of NSW | Australia | - |
| 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 |
| 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. |