Summary
Xiangmeng Wang is a research-focused assistant professor based in Sydney with eight years of experience bridging causal machine learning, explainable AI, and data analysis. She completed a PhD in Data Analytics at UTS after an MEng from Shanghai University and has published in top-tier ML venues, combining rigorous theory with applied work in recommender systems. Her doctoral research emphasized causal inference methods for recommendation, and prior industry roles included graph learning and large-scale anti-fraud modeling—skills she continues to apply in academic projects. Known for translating complex causal ideas into practical analyses, she brings both teaching experience and hands-on data science to interdisciplinary teams.
8 years of coding experience
Master of Engineering - MEng, 89.0/100, Master of Engineering - MEng, 89.0/100 at Shanghai University
Doctor of Philosophy - PhD, Data Analytics, Doctor of Philosophy - PhD, Data Analytics at University of Technology Sydney