I am a Ph.D. student in the School of Computing and Information Systems at the University of Melbourne, where I am fortunate to be advised by Professor Sarah Erfani and Dr. Feng Liu. Prior to my doctoral studies, I received my Master of Data Science from the same university under the guidance of Associate Professor Mingming Gong and Dr. Liuhua Peng. I also hold a Bachelor of Science in Mathematics and Statistics from the University of Melbourne.

My research focuses on robustness and generalisation in large language models, particularly how post-training can adapt model behaviour to new requirements while preserving useful capabilities. I am interested in the gap between improvements under limited supervision and reliable behaviour in deployment, and in developing learning methods that remain dependable as tasks and environments change.

More broadly, I am interested in the statistical foundations of trustworthy machine learning, including uncertainty quantification and conformal prediction. I draw on my background in mathematics and statistics to study model reliability and principled evaluation, with additional work in time-series modelling.