Théo Saulus
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! |
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| 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! |