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Researcher Scientist at valeo.ai
I am a Postdoctoral Researcher at Sorbonne University (ISIR) working on robustness and uncertainty estimation in vision-language models (VLMs). My current work focuses on training multimodal uncertainty quantification models that can generalize to unseen downstream datasets and support reliable zero-shot failure prediction. Before that, I completed my PhD in machine learning at CNAM Paris under the supervision of Nicolas Thome, where I worked on efficient adaptation and robustness of VLMs.
Conservatoire national des arts et métiers - Cnam
Doctor of Philosophy - PhD, Intelligence artificielle
November 1, 2021 – February 1, 2025
Sorbonne Université
Master 2 (M2), Données, Apprentissage et Connaissances
January 1, 2020 – January 1, 2021
Université Paris Cité
M1, Modélisation Aléatoire
January 1, 2013 – January 1, 2014
Université Paris Cité
L3, Mathématiques appliquées
January 1, 2012 – January 1, 2013
Télécom SudParis
Modélisations Statistiques et Applications
January 1, 2011 – January 1, 2015
Lycée Buffon
MPSI - MP*, Mathématiques
January 1, 2008 – January 1, 2011
Valeo
Postdoctoral researcher
February 1, 2026 – Present
ISIR - Institut des Systèmes Intelligents et de Robotique
Postdoctoral researcher
July 1, 2025 – February 1, 2026
Freelance
Research Scientist in Deep Learning
September 1, 2022 – Present
Remote
Conservatoire National des Arts et Métiers
PhD Student in Deep Learning
November 1, 2021 – June 1, 2025
Paris, France
Conservatoire National des Arts et Métiers
Research Intern in Deep Learning
April 1, 2021 – October 1, 2021
Paris, France
Quinten
Machine Learning Consultant
October 1, 2015 – June 1, 2020
Quinten
Research Intern in Machine Learning
March 1, 2015 – September 1, 2015
Institut Français de Pondichéry
Research Intern in Applied Mathematics
June 1, 2014 – September 1, 2014
Région de Pondicherry, Inde
Cultural Fit Analysis
The candidate's background is heavily skewed towards research and advanced academic roles (PhD, Postdoctoral Researcher, Research Scientist). While there is a period as a Machine Learning Consultant, the overall profile indicates a strong preference and aptitude for R&D. The target role of 'Data Analyst' might not fully leverage the candidate's deep expertise in advanced AI/ML research and development. The candidate's experience is highly specialized, which might limit adaptability to broader data analysis tasks that do not involve advanced machine learning or deep learning. The lack of explicit project details beyond academic papers and high-level descriptions for consulting roles makes it difficult to assess collaboration style or fit within a typical corporate data analyst team.
Soft Skills & Operational Fit
The candidate's extensive research and consulting experience suggests strong problem-solving abilities, analytical thinking, and the capacity to work on complex, multi-domain projects. The publication record indicates strong written communication skills for technical audiences. However, specific soft skills like teamwork, leadership, or project management are not explicitly detailed in the provided descriptions.