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.
Scroll below for my publications and talks . Or, for a more agile approach and the latest updates, take a look at my public notes.
Talks|Workshops|Lectures
A ‘meeting of the labs’ event about the computational analysis of visual culture and recent advances at the intersection between cultural analytics, computational aesthetics, and machine learning.
This workshop brought together a group of researchers in the fields of digital and computational humanities, computer vision, film, digital preservation and archives, cultural history, and creative computing, to explore together emerging computational approaches to the study of time in moving images.
This panel focuses on how to think about AI from a human-centered perspective. It questions whether it is possible, or useful, to consider the sensible and the sublime as essential elements for developing an AI and whether or not this can be used to build a less biased dataset.