Miss Hui Tao
Higher Degree by Research Candidate
School of Electrical and Mechanical Engineering
College of Engineering and Information Technology
Hui Tao is a cross-disciplinary researcher focused on applied machine learning and causal inference for cyber-physical systems, with a particular interest in safer autonomous systems. She completed the Master of Computing & Innovation (MCI) at University of Adelaide, where she applied causal methods to examine mechanisms underlying educational inequity; this work has been accepted for presentation at the Australian Association for Research in Education (AARE) (2025).
Prior to returning to academia, she worked for over a decade in China’s real estate marketing sector, leading teams and delivering close to ten projects with multi-million-RMB budgets. This industry experience informs her research style—problem-driven framing, practical delivery, and outcome-focused evaluation.
My research combines causal inference and applied machine learning to make autonomous systems safer and more robust. I’m interested in understanding why failures and anomalies occur in feedback-driven cyber-physical systems, and translating those insights into practical, deployable methods.
| Language | Competency |
|---|---|
| Chinese (Mandarin) | Can read, write, speak, understand spoken and peer review |
| English | Can read, write, speak, understand spoken and peer review |
| Date | Institution name | Country | Title |
|---|---|---|---|
| 2023 - 2025 | University of Adelaide | Australia | Master of Computing and Innovation |
| 2007 - 2011 | Huazhong Agricultural University | China | Bachelor of Agriculture |