Eun-Jung Holden

Professor Eun-Jung Holden is a leading academic in data science applied to geoscience, holding dual roles as Professor at the UWA Data Institute and Adjunct Senior Research Fellow in the School of Earth and Oceans at The University of Western Australia (UWA). She transitioned from computer science to geoscience in 2006, establishing the Centre for Data-driven Geoscience (CDG) to bridge academia and industry through advanced machine learning and visualization tools.

Her education includes a computer science background from UWA, with postgraduate and postdoctoral research in computer vision and visualization. Her research focuses on automating geoscientific data analysis, including drill hole data integration, spectral imagery, and geomechanical modeling. She has commercialized three geodata analytics algorithms and led major industry projects with Rio Tinto Iron Ore, resulting in patent applications.

Professor Holden’s work emphasizes cross-disciplinary collaboration, fostering innovation in mineral exploration, geophysical surveys, and virtual reality geologic mapping. She has been recognized with awards such as the 2022 Women in AI Award and the UWA Vice Chancellor’s Impact & Innovation Award.

Her grants include leadership in the ARC Training Centre for Critical Resources and the ChatGEO project on semantic document retrieval. She has supervised 8 research projects and actively promotes industry-academia partnerships through initiatives like the UWA Data Institute.

Labs/Teams: Leads the Centre for Data-driven Geoscience (CDG), specializing in machine learning and geoscientific data integration.