Coming from a double background in Mathematics applied to Computer Vision and in Art History, I have always thought that these two disciplines -as they both essentially study images- could thrive from one another. During my PhD at Cambridge, I will study what can be called 'computational formalism': the automatic analysis of images, treated as digital data, through computational methods. Millions of images circulate every day through global networks, and are constantly analysed by Artificial Intelligence (AI) models. More and more, the same AI models are used in Art History and Visual Studies to develop inventive digital methods, helping to study large-scale datasets outside the canon. To question these uses of AI, I will try to determine the place of computational formalism in the historiography of formalism. This methodological work of recontextualisation will lay the ground for a critically-informed use of computational methods in Art History, and will allow us to better understand AI-encoded digital images. In particular, I am convinced that Art History will help us determine the issues of power, domination and invisibilisation at stake behind the circulation of digital images nowadays - this is one of my research goals.
Univ. Paris1 Panthéon-Sorbonne History of Contemporary Art 2022
Univ. Paris1 Panthéon-Sorbonne Art History and Archeology 2021
Ecole Normale Supérieure de Cachan Math, Vision, Machine Learning 2020