Daniel Chávez Heras

Daniel specialises in the computational production and analysis of visual culture. His research combines critical frameworks in the history and theories of cinema, television, and photography, with advanced technical practice in creative and scientific computing, including applied machine learning technologies.

He has worked extensively in interdisciplinary design and creative industries, in Mexico and in the UK, with cultural institutions such as The British Council, and the BBC. He was senior research fellow at the Cultural Analytics Open Lab in Estonia, and is now Lecturer in Digital Culture and Creative Computing in the Department of Digital Humanities at King’s College London, where he is also part of the Computational Humanities Group, and research fellow at the Creative AI Lab, in partnership with the Serpentine Gallery.