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

In tandem with his academic work, Daniel has international experience in creative industries and the cultural sector; he was a digital manager for the British Council in Mexico; founded an international short film and digital art festivalthat took place entirely online; and collaborated with the BBC to create “the world’s first broadcast AI-TV programme”. He was senior research fellow at the Cultural Analytics Open Lab in Estonia, and is now part of the Creative AI Lab, in partnership with the Serpentine Gallery in London.

Research interests and PhD supervision

• Visual Culture + Creative Computing
• Generative approaches in computational humanities
• Critical technical practice with a focus on machine vision and aesthetically sensitive algorithms
• Interdisciplinary design and making cultures
• Computational Film and moving image studies

Daniel welcomes PhD applications related to the above, ideally from applicants with interdisciplinary backgrounds and strong technical skills across the arts and sciences.

Teaching

Daniel teaches in the areas of digital culture, computational humanities, and interdisciplinary design.