Estrid He · Jiayuan He

Senior Lecturer

Discipline of Data Science and Artificial Intelligence School of Computing Technologies RMIT University

Melbourne, Australia

I received my PhD in Computer Science from the University of Melbourne in 2020 and subsequently worked there as a postdoctoral researcher, where I led the ChEMU shared-task series on information extraction from chemical patents. I joined RMIT University in 2021. I develop trustworthy, domain-specific large language model (LLM) systems for structured and high-stakes data. My work combines natural language processing, recommender systems, and knowledge-intensive AI to improve how language models learn, update, personalise, and support decision-making in scientific, biomedical, and real-world applications.

Current research is supported by competitive funding including the ARC, Wellcome and the Global Science and Technology Diplomacy Fund (GSTDF). View funded projects.

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Opportunities

I welcome enquiries from prospective students with strong backgrounds in deep learning, large language models, and related areas. Please email your CV, transcripts, and relevant research experience, such as publications or a minor thesis. Visiting scholars, visiting students, and industry partners are also welcome.

Current targeted opening

PhD research in reliable large language models

I am recruiting one PhD student to work on LLM hallucination mitigation and retrieval-augmented generation (RAG)-based reasoning. Enquiries on broader topics aligned with my research in trustworthy AI, natural language processing, recommender systems, and AI for science are also welcome.

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