Xiao-Yu Guo
AI Researcher · PhD in Artificial Intelligence, Monash University
I am an AI researcher with experience across academia and industry. My work focuses on natural language processing, large language models, complex reasoning, multimodal learning, and responsible AI. I am particularly interested in building trustworthy, efficient, and generalisable AI systems.
Previously, I worked as a Senior Applied Scientist at Oracle Australia (January 2025–May 2026), developing medical-domain agent workflows, scalable AI solutions, and methods for model evaluation and validation. Before that, I was a Postdoctoral Research Fellow at the Australian Institute for Machine Learning (AIML) (November 2023–January 2025), working with Ehsan Abbasnejad on model robustness, reliability, and responsible AI.
I completed my PhD in Artificial Intelligence at Monash University in April 2024, under the supervision of Yuan-Fang Li and Gholamreza Haffari. My thesis, Complex Question Answering: from Data to Method, explored reasoning with neural module networks and language models under data bias and distribution challenges.
Research Interests
Natural language processing and large language models; complex question answering and reasoning; multimodal learning; model robustness, fairness, and generalisation; responsible AI.