Murad Khan is Course Leader and Senior Lecturer on the Diploma and Graduate Diploma in Creative Computing at the CCI. His research explores the function and breakdown of predictive models in human cognition and machine learning systems, focusing particularly on contemporary research in cognitive neuroscience (predictive processing), studies of perception and adversarial machine learning to outline a philosophy of noise and uncertainty in the development of predictive systems. He has presented his research at Unsound Festival, Serpentine Galleries and the Goethe-Institut as well as publishing in eflux and Stages Journal.
His collaborative practice with artist and programmer Martin Disley explores states of speculation and incoherence in computational systems through audio signal processing, speculative digital sculpture and machine learning models.
Murad also leads the UAL Open Course 'Computational Futures: AI and Machine Learning.'