Brian Ballsun-Stanton


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Personal profile


Dr Brian Ballsun-Stanton is the Macquarie University Faculty of Arts' Solutions Architect (Digital Humanities). He is a technologist working as a peer with researchers across the faculty and university on digitally enabled research. With a BS and MS in Information Technology and a PhD in the Philosophy of Data -- he is guiding the faculty and university in this crazy new world of "Generative AI." He has given workshops across Europe and Australia about how to think about and use Generative AI tools. He is collaborating with researchers in Philosophy, Law, Security Studies, Languages, and Ancient History around how to use and apply Large Language Models to research problems and undergraduate teaching.

He designs and delivers technical solutions for academic and student research projects. Brian has supported researchers at Macquarie University and UNSW Australia. He has been Chief Investigator in grants and prizes across the humanities and social sciences totalling over AUD $2,610,000. These have included Technical Director for a field-data collection project, delivering 72+ field data collection modules since 2013.

Brian also has been a member of The Carpentries Trainers Leadership group, Instructor Trainer, and Instructor in good standing. Lead instructor for 10+ carpentries workshops delivered since 2017 and active in local initiatives such as the Research Bazaar Sydney.

He has also developed partnerships with Ubisoft and Google. One major partnership led to Macquarie University's engagement on the Google Arts and Culture Platform, using AI to assist researchers in translating Ancient Egyptian Hieroglyphs. Brian has Co-supervised two MRES students using technology as a fundamental component of their research. He provides of technical advice, database designs and solution-focused support for academic and student research projects across Australian and International academic institutions. An internationally respected researcher in the Digital Humanities with eighteen peer-reviewed publications and book-chapters.

CV available at:
Large Language Model workshop: (Slides:


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