Kynan Tan

Post-Doc Fellow

I am an artist and researcher working with digital technologies to investigate data and algorithm. I obtained my PhD degree at UNSW Art & design, Sydney. I completed a Bachelor of Music (Music Technology) with Honours at the Western Australian Academy of Performing Arts. I am currently a postdoctoral fellow at UNSW Art & Design working with Professor Anna Munster (UNSW) and Professor Adrian Mackenzie (ANU) on the project "Re-imaging the empirical: statistical visualisation in art and science".

My artworks have been exhibited at Primavera, Museum of Contemporary Art Sydney; UNSW Galleries; Lyon Housemuseum Galleries, Melbourne; Dominik Mersch Gallery, Sydney; Beijing Media Arts Biennale; Artspace, Sydney; Perth Institute of Contemporary Arts, WA; Fremantle Arts Centre, WA; and Longli International New Media Art Festival, Guizhou Province, China. I have completed residencies at SymbioticA Biological Arts Facility at the University of Western Australia; Centre for Interdisciplinary Arts, Perth; and Performance Space, Carriageworks, Sydney. I have also performed sound and audio-visual works across Australia, China, and Japan.

I am interested in the ways that data and algorithm are rendered sensory through processes such as visualisation and sonification. In particular, my work has investigated the aspects of computation that contribute to these processes but are often rendered imperceptible, such as data centres, the materiality of data storage systems, workers who assemble electronics such as smart phones, or the extent to which these large quantities of data exist beyond our comprehension. I am currently working with machine learning systems to attempt to visualise and render sensory their complex processes, as well as to use these techniques to question the relationality and conditionality of these systems.

Journal articles
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Tan K; Munster A; Mackenzie A, 2021, 'Images of the arXiv: Reconfiguring large scientific image datasets', Journal of Cultural Analytics, http://dx.doi.org/10.22148/001c.21374
2021

I have previously taught in the areas of data aesthetics, computational design, and music composition. I am interested in teaching in areas around data visualisation and sonification, computer-generated 3D graphics and simulation, sound theory and composition, coding and interactive media, machine learning and big data.