I am a PhD student in Applied Mathematics at The University of Sydney, working under the supervision of Prof. Eduardo G. Altman and Prof. Tristram Alexander. My research focuses on developing methodological approaches to uncover meso-scale structures in complex networks. Since February 2026, I have also been serving as a Postgraduate Teaching Fellow in the School of Mathematics and Statistics at The University of Sydney.
I graduated with first-class honours in Applied Mathematics from The University of Sydney in 2019, where my research explored topic modeling and community detection in complex systems. After completing my undergraduate studies, I worked as a software engineer at Huawei for two years, gaining practical experience in software development and large-scale data analysis. I then pursued a Master’s degree in Computer Science at UMass Amherst, where I conducted research in deep learning under the supervision of Prof. Evangelos Kalogerakis and Dmitry Petrov, focusing on applications in natural language processing (NLP), computer vision, and graphics.
EMNLP
EPJ Data Science
Since February 2026, I have been serving as a Postgraduate Teaching Fellow in the School of Mathematics and Statistics at The University of Sydney.