Coming from a double background in machine learning and in art history, Tristan analyses, during his PhD, the links between the formalist school, in art history, and the way computers understand images. After studies in Paris, in mathematics applied to machine learning, and in art history, Tristan now tries to link these two fields together in a fruitful, revitalising way. He is also interested in the creative aspects of digital technologies, and occasionally works on artistic projects. His research is funded by a Gates Cambridge Scholarship.

Cambridge Digital Humanities

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