Harry Coday is a Graduate Trainee at Christie’s and has previously studied at Central Saint Martins College of Art & Design, the Ruskin School of Art, and most recently the Royal College of Art where he completed his MRes in Fine Art in 2020. At Christie’s, Harry has worked in the Impressionist & Modern Art Private Sales and Client Strategy departments, and is now supporting cataloguing across Post-War & Contemporary sales in London as well as NFT sales in New York.

Harry’s practice-based research has explored the relationship between fire and technology, with a particular interest in the energy consumption and aesthetics of machine learning engines. Combined with a fascination for musical genres that have caused both cultural and temporal ruptures in recent history, his ongoing experiments broadly relate to artificial intelligence, rhythm and heat.

COLD SWEAT uses the moving image output of a generative adversarial network (GAN) model trained on the one hundred most valuable artworks ever sold at Christie’s in London. Reinvented and reignited through artificial intelligence, the work thunders to the silent breakbeat of James Brown’s 1967 song of the same name. Looping infinitely, each cycle lasts for the duration of Clyde Stubblefield’s radical drum break solo during the second half of the song, introduced by Brown’s repeated cries, "give the drummer some”.