Unless otherwise agreed, please use this bio for publications, events, and the web more generally. It can be split into a short, medium, and longer versions as needed. Aggregated word and character count highlighted below for convenience. If using for the web, please keep all links.

Shortest bio

Short bio

[66 words, 482 characters]

Dr Daniel Chávez Heras is a Senior Lecturer (≈Associate Professor) in Computational Humanities and AI Media in the Department of Digital Humanities at King’s College London.

He 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.

Medium bio

[130 words, 912 characters]

Dr Daniel Chávez Heras is a Senior Lecturer (≈Associate Professor) in Computational Humanities and AI Media in the Department of Digital Humanities at King’s College London.

He 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.

Daniel works with cultural institutions such as the British Film Institute, the British Council and the BBC. He is the author of Cinema and Machine Vision: Artificial Intelligence, Aesthetics and Spectatorship (2024, Edinburgh University Press). At King’s, he is a fellow of the Digital Futures Institute, the Institute for Artificial Intelligence, a member of the Creative AI Lab and the Computational Humanities Research Group.

If you need a longer bio get in touch or read more about my work. And here is a Spanish version too, thanks to a recent visit to Mexico!