Mr Tuyen Vu
Higher Degree by Research Candidate
School of Computer Science and Information Technology
College of Engineering and Information Technology
Tuyen Vu is currently a third-year PhD student at the School of Computer Science and Information Technology, Adelaide University, under the supervision of Associate Professor Thuc Le.
He holds both a Bachelor's and a Master's degree in Electronics and Telecommunication Technology. Prior to commencing his PhD, he worked as a Software Engineer at a major software development company and a bank in Vietnam.
His current research focuses on the development of causal inference methods and their applications in Bioinformatics, an interdisciplinary field that combines Information Technology and Data Science to address biological problems, particularly in Cancer Research.
With a diverse background and over 10 years of experience, including extensive work in both industry and academic research, he believes he can successfully support students in their learning journeys.
My current research focuses on causal inference methods and their applications in bioinformatics, with particular emphasis on gene regulatory networks, cancer subtype discovery, and broader cancer research.
| Date | Position | Institution name |
|---|---|---|
| 2024 - 2025 | Tutor | University of South Australia |
| 2015 - 2017 | Software Engineer | MB Bank |
| 2009 - 2015 | Software Developer | FPT Software |
| Language | Competency |
|---|---|
| English | Can read, write, speak, understand spoken and peer review |
| Vietnamese | Can read, write, speak, understand spoken and peer review |
| Date | Institution name | Country | Title |
|---|---|---|---|
| 2011 - 2014 | Vietnam National University, Hanoi | Vietnam | Master |
| 2005 - 2009 | Vietnam National University, Hanoi | Viet Nam | Bachelor |
| Year | Citation |
|---|---|
| 2025 | Vu, T., Tran, H., Liu, L., Li, J., Du, J. T., & Le, T. (2025). Foundation Model-Based Recommendation of Optimal Neoadjuvant Therapy in Breast Cancer. DOI |
| 2025 | Vu, T., Tran, H., Li, X., Liu, L., Li, J., Du, J. T., & Le, T. (2025). Tabular Foundation Model for Breast Cancer Prognosis using Gene Expression Data. DOI |
Courses I teach
- MATH 5045 Advanced Analytic Techniques (2025)
- MATH 5045 Advanced Analytic Techniques (2024)