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Director of Innovation, R&D, AI Practice Leader
I completed my Ph.D. in February 2018 under the supervision of Cordelia Schmid (computer vision, deep learning, video processing). MSc Graduate in Machine Learning and Mathematics (MVA) from Ecole Normale Superieure de Cachan, France. 15-year experience in Machine Learning / Deep Learning / Artificial Intelligence in companies and universities. 4-year experience in project management in business banking. Strong background in Mathematics and Physics. Skilled at presenting technical and abstract concepts in a clear and concise way.
Université Grenoble Alpes
Doctor of Philosophy - PhD, Mathematics and Computer Science
January 1, 2014 – January 1, 2018
École Normale Supérieure Paris-Saclay
Master’s Degree, MVA - mathematics, vision, learning
January 1, 2011 – January 1, 2012
IMT Atlantique
Master's degree
January 1, 2003 – January 1, 2007
Ekimetrics
Director of Innovation, R&D, AI Practice Leader
January 1, 2025 – Present
Ekimetrics
Head of Innovation, R&D
December 1, 2022 – December 1, 2024
Ekimetrics
Domain Leader (Machine Learning and Deep Learning)
March 1, 2022 – December 1, 2022
Ekimetrics
Technical Lead Machine Learning
January 1, 2020 – March 1, 2022
Planorama
Deep Learning Research Scientist
January 1, 2018 – January 1, 2020
Paris Area, France
Inria
PHD Student at Thoth Team - Machine learning, deep learning, computer vision
October 1, 2014 – January 1, 2018
Grenoble Area, France
Inria
Machine Learning Pre Doctoral Intern at LEAR team
July 1, 2014 – September 1, 2014
Grenoble Area, France
CEA
Applied mathematics and computing science research engineer
March 1, 2013 – June 1, 2014
Grenoble Area, France
Siemens
Reserch scientist internship : MRI reconstruction algorithm implementation
April 1, 2012 – October 1, 2012
Princeton (USA)
Maltem Consulting
Project Management Consultant and technical/functional support
March 1, 2008 – January 1, 2011
Talan
Ingénieur consultant
March 1, 2007 – March 1, 2008
Data Fusion for Semiconductor Metrology
November 1, 2012 – March 1, 2014
Project of a startup company in the domain of Data Fusion Metrology for Microelectronics Industry.
Cultural Fit Analysis
The candidate's background is heavily skewed towards advanced research, machine learning, and deep learning, with a strong academic foundation. While the target role is 'Data Analyst', the candidate's experience is significantly more advanced, aligning more with a 'Senior Data Scientist' or 'Machine Learning Engineer' role. The project 'Data Fusion for Semiconductor Metrology' aligns with their research background. The breadth of experience, from academic research to industry R&D leadership, suggests adaptability and a drive for innovation. However, the direct alignment with a pure 'Data Analyst' role, which typically focuses on reporting, dashboarding, and less on advanced modeling or research, is not a perfect fit. The candidate's profile suggests a strong cultural fit for an organization that values deep technical expertise, research, and innovation in data science and AI.
Soft Skills & Operational Fit
The candidate's career progression from research scientist to Director of Innovation suggests strong leadership, problem-solving, and strategic thinking. Their extensive academic background and research experience indicate a high capacity for independent learning and complex problem analysis. The descriptions of past roles, particularly at Inria and Siemens, highlight a methodical approach to research and development, including algorithm implementation and improvement. The earlier roles in consulting demonstrate an ability to work in structured environments, manage projects, and provide technical support, which implies good communication and stakeholder management skills, although direct evidence of these soft skills is limited to role descriptions.