Guido Zuccon

Guido Zuccon is a Professorial Research Fellow at the School of Electrical Engineering and Computer Science, The University of Queensland (UQ), where he leads the Information Engineering Lab (ielab). He serves as the AI Director for the Queensland Digital Health Centre (QDHeC) and is an Affiliate Professor at the UQ Centre for Health Services Research. He was previously a Lecturer and Senior Lecturer at Queensland University of Technology and a Postdoctoral Fellow at CSIRO.

His research spans Information Retrieval, Health Search, Formal Models of Search, and Health Data Science, with a strong focus on consumer health search, cohort identification, clinical decision support, and systematic review automation. He has pioneered work on search interaction, semantic models, and the evaluation of retrieval systems in health contexts.

His recent publications highlight a strong trend toward leveraging large language models (LLMs) for zero-shot retrieval, federated search, dense retrieval, and query formulation. His work integrates advanced neural methods with practical applications in healthcare, including systematic review automation and clinical AI. He frequently publishes at top venues such as SIGIR, ECIR, and WSDM, often in collaboration with key researchers like Bevan Koopman, Shengyao Zhuang, and Harry Scells.

• ARC DECRA Fellow (2018–2020)
• Best Paper Awards at AIRS 2017, CLEF 2016, ALTA 2015, ECIR 2012
• Best Reviewer Award at ECIR 2014
• Principal Investigator on ARC Discovery Projects and MRFF grants

Guido Zuccon actively supervises a large cohort of PhD students, primarily in areas related to neural information retrieval, health search, and systematic review automation. He has led significant research projects funded by the ARC, Google, Microsoft, GRDC, and CSIRO. He is a key organizer of international evaluation labs such as the CLEF eHealth Consumer Health Search task and the TREC 2019 Decision Track.

He leads the ielab, a vibrant research group focused on information retrieval and data science, and contributes to major open-source initiatives like Big Brother, a tool for logging user interactions in web studies.