Zhuang Li

Dr. Zhuang Li is a Lecturer at RMIT University's School of Computing Technologies, specializing in Natural Language Processing (NLP), machine learning, and trustworthy AI. He earned his PhD from Monash University (2023), focusing on semantic parsing in low-resource conditions, and previously worked at Microsoft on Cortana and Bing. His research bridges NLP, computational social science, and cultural alignment of AI systems, emphasizing data-efficient training and LLM safety.

Education:

• PhD in NLP, Monash University (2019–2023)
• M.Comp in AI, Australian National University (2014–2015)
• B.Eng in Electrical Engineering, Wuhan University of Science and Technology (2009–2013)

Research Interests: Data-efficient learning, culturally-grounded AI, large language models, computational social science, and ethical AI deployment.

Collaborations: Active in industry partnerships and academic collaborations with Monash University, TU Darmstadt, Microsoft Research India, and Ant Group. Recent work includes ACL 2025 papers on LLM safety and peer review analysis.

Supervision: Open to PhD students in low-resource languages and culturally-aligned LLMs. Collaborates with senior faculty at RMIT and Monash.