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Professor Craig Macdonald specializes in Information Retrieval within the School of Computing Science at the University of Glasgow. He previously held the prestigious Lord Kelvin Adam Smith Research Fellowship and currently serves as the Director of Research within his department. He obtained his PhD from the University of Glasgow in 2009. His research interests primarily center around information retrieval and recommender systems, focusing on efficient and effective retrieval processes that incorporate machine learning and deep learning methodologies. His team's work has been published in top-tier venues such as ACM SIGIR, ECIR, CIKM, RecSys, WWW, WSDM, and journals including ACM Transactions on Information Systems as well as the Information Retrieval Journal. He is also an investigator for several EU projects such as SMART, SUPER, BigDataStack, and Infinitech, alongside various EPSRC and ESRC-funded projects, leading initiatives like The Data Lab. Notably, he coordinated an Innovate UK KTP project and spearheaded the development of the PyTerrier information retrieval toolkit. In addition to his research, he coordinates and contributes to the teaching of Honours and Masters-level recommender systems courses and has played a significant role in teaching computing science fundamentals.
University of Glasgow • Glasgow
Specializing in Information Retrieval and leading the Research School of Computing Science.