Juliette Marrie

I am a postdoctoral researcher at Kyutai, working on integrating visual understanding into audio-language models.

I completed a PhD at NAVER LABS Europe and INRIA Grenoble - Rhône-Alpes, THOTH team, under the supervision of Julien Mairal, Diane Larlus, and Michael Arbel (2022-2025). My PhD research focused on visual representation learning, knowledge distillation, and 3D scene understanding. Before my PhD, I graduated from Mines Paris with a focus in Applied Mathematics and obtained a Master’s Degree in Mathematics, Machine Learning, and Computer Vision (MVA) from ENS Paris-Saclay (2021).

Professional experience

• 2022-2025: PhD at NAVER LABS Europe and Inria, THOTH team.

• 2021: 6-month internship at Philips Research (France) on self-supervised learning from 3D medical images.

• 2020: 6-month internship at Weill Cornell Medicine and the NYGC (Landau Lab, New York) on phylogenetic tree reconstruction from microsatellite sequences.

• 2019: 6-month internship at Neural Concept (EPFL Innovation Park, Lausanne) on 3D shape optimization using Geometric Deep Learning

Teaching

African Masters of Machine Intelligence (AMMI) 2023 and 2024 - Saly, Senegal
I served as a teaching assistant for two-week courses on Kernel Methods, taught by Jean-Philippe Vert, in July 2023 and July 2024.