Talks & invited lectures:

• "Following the grid: on some prefigurations of digital art history", Styles Revisited: From Iconology to Digital Image Studies, University of Geneva, Seminar (May 2023).
• "Discrete image, grid, matrix: possibilities of encoding/decoding (weaving/unweaving)", From Hype to Reality: Artificial Intelligence in the Study of Art and Culture, University of Zurich, Symposium (April 2023).
• "Computer vision and artwork analysis", Des chiffres et des arts, École Normale Supérieure (ENS), Lecture (December 2022).
• "Automatic table transcription in manuscripts", Digital Humanities Meet Artificial Intelligences, École Normale Supérieure (ENS), Seminar (November 2021).

Teaching:

• Project teacher, Digital Humanities Meet Artificial Intelligence, PSL & ENS Master Course, Intensive Week - (March 2021, March 2022 and November 2022).

Education:

• University of Cambridge - PhD in Digital Art History (2022-)
• Pantheon-Sorbonne University - B.A. in art history and archeology & M.A. (1) in contemporary art history (2020-22)
• ENS Paris-Saclay - M.Sc. in applied mathematics (2019-2020)
• Mines ParisTech - M.Sc. in engineering & applied mathematics, University exchange (2018-2019)
• Mines Saint-Etienne - M.Sc. in engineering & applied mathematics (2016-2018)
• Lycée Henri IV - Classe préparatoire (2013-2016)

Work experience:

• Observatoire de Paris - Research engineer (2020-22)
• Observatoire de Paris & ENPC - Graduate research assistant (2019)
• ENS Paris-Saclay - Graduate research assistant (2019)
• Pasteur Institute - Undergraduate research assistant (2018)

Creative outputs and demos:

• Am I Normal?, interactive installation funded by a Cambridge Digital Humanities Award (2023).
• Dreamy Cops, video artwork selected at the 2021 Computer Vision Art Gallery.
• Welcome To My Website!, a random journey in the (vanishing) world of personal webpages – created with Tristan Stérin (2018). [demo link]

Public engagement:

• "On the new nature of surveillance images", brief article, The Scholar (2023).

• "The study of images in the computer age", interview, Gates Cambridge Website (2022).

Publications in computer science:

• Non-Linear Template-Based Approach for the Study of Locomotion, Tristan Dot, François Quijoux, Laurent Oudre, Aliénor Vienne-Jumeau, Albane Moreau, Pierre-Paul Vidal, David Ricard, Sensors, 2020, 20, 1939.
• Deep learning from phylogenies to understand the dynamics of epidemics., Jakub Voznica, Anna Zhukova, Tristan Dot, Kary Ocaña, Frédéric Lemoine, et al., Epidemics - 7th International Conference on Infectious Disease Dynamics, Dec 2019, Charleston, United States.

Software development:

• Table Transcriber, an automatic pipeline for astronomical tables transcription (2022). [report link]