Théo Saulus

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PhD student at Mila (Quebec AI Institute) and Université de Montréal.

My research focuses on understanding how models can robustly generalize and develop meaningful abstractions, with an emphasis on causality and applications to scientific discoveries.

Previously, I graduated from CentraleSupélec and École Normale Supérieure Paris-Saclay and completed research internships at Stanford University and InstaDeep.

news

Jan 10, 2025 Just started my PhD at Mila!
May 6, 2024 Just started my internship at InstaDeep!
Nov 5, 2023 Proud to be part of the Evry-Paris-Saclay team at iGEM 2023! We have been awarded the best Hardware prize, and nominated for the best Software prize, check out our project “OptoGenEYEsis”.
Jul 20, 2023 Happy to have contributed to the white paper “The great challenges of Generative AI” with the French association Data for Good!
Apr 22, 2023 Website launched!