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AI Fellow at Université PSL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Télécom Paris
Ingenieur Télécom, Machine learning and data sciences, signal processing, numerical communication
January 1, 2014 – January 1, 2015
Ecole normale supérieure
Master 2 - MVA, Machine learning and computer vision, statistics, convex optimization, wavelets, graphs
January 1, 2014 – January 1, 2015
École Polytechnique
Ingenieur polytechnicien, Pure and applied mathematics, Statistical physics, Complex Systems, Data Mining, Machine Learning
January 1, 2011 – January 1, 2015
Pierre and Marie Curie University
Licence, Mathématiques
January 1, 2008 – January 1, 2011
PSL Research University
AI Fellow at Université PSL
October 1, 2025 – Present
L2S - Laboratoire des signaux et systèmes, Université Paris-Saclay
Postdoctoral Researcher
October 1, 2024 – October 1, 2025
Saclay, Île-de-France, France
Inria
Postdoctoral Researcher
October 1, 2021 – September 1, 2024
Saclay, Île-de-France, France
Université catholique de Louvain
Ph.D. in Optimization, Machine Learning
June 1, 2016 – May 1, 2021
Louvain-la-Neuve, Belgium
EPFL (École polytechnique fédérale de Lausanne)
Master thesis: graph signal processing and inverse problems
August 1, 2015 – January 1, 2016
Lausanne Area, Switzerland
Invoxia
Research Intern: Machine Learning
April 1, 2014 – August 1, 2014
Issy-les-Moulineaux
Banque de France
Summer intern: parallel programming
July 1, 2013 – August 1, 2013
Paris
Projet Scientifique Collectif - Peut on optimiser les files d'attentes au Magnan ?
September 1, 2012 – June 1, 2013
Ce projet avait pour but la modélisation et l'optimisation du système de files d'attentes du restaurant de l’École polytechnique. Pour y parvenir, nous avons développé des outils théoriques (réseaux de Jackson) en les adaptant au cadre de notre modèle, et nous avons procédé à des simulations informatique.
Cultural Fit Analysis
The candidate's background is heavily academic and research-oriented, with a focus on theoretical and advanced mathematical concepts. While this demonstrates intellectual rigor, there is limited evidence of direct experience in a corporate data analyst environment, which might require a different cultural fit emphasizing business impact, stakeholder communication, and practical application of data analysis tools. The project diversity is limited to one academic project description. The role alignment with a 'Data Analyst' position is moderate, as the experience leans more towards research and AI/ML development rather than traditional data analysis.
Soft Skills & Operational Fit
The candidate's extensive academic and research background suggests strong analytical and problem-solving skills. However, the provided data does not offer sufficient information to assess soft skills like teamwork, leadership, or communication in a professional setting, nor operational fit within a typical corporate data analyst role.