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Data Science team manager, Senior Expert @Air Liquide
I'm an International Senior Expert in Data Science and Digital who had the good fortune to believe, at the beginning of the 21st century, that the advances in Machine Learning and Artificial Intelligence could be of great help in solving scientific problems for industrial applications. It is now a truism that the whole world will be impacted in profound ways by the revolution of Artificial Intelligence. Lucky enough to have jumped early into this exciting field, I completed my PhD in Machine Learning and Data Mining in 2006, and have ever since been addressing various data science challenges both in academic and industrial settings. I have 10+ years of hands-on experience using Machine Learning, Deep-learning, Natural Language Modeling to solve real-world problems such as: (°) increasing marketing impact and improving customer experience (°) designing e-health predictive algorithms for patient risk management & hospital resources optimisation (°) extracting semantic knowledge using text mining across various domains (°) exploring the next frontiers of Machine learning through collaborative research with the best in class academics: - Reinforcement Learning enabling optimal actions and effective decisions - Generative Artificial Intelligence leveraging Large Language Models - Trustworthy AI with (privacy, interpretability, monitoring, robustness ...) guaranteeing safe and correct operations of AI systems Beyond my technical background, I have also made wide use of the following ‘soft-skills’: Ability to convey technical concepts to business leaders at the appropriate level of detail. Working in agile mode closely with software engineers, operations staff and business teams to drive model implementation and value creation. Diverse experiences managing data-driven projects with the ability to deal with ambiguity and competing objectives
University of Lille 1 Sciences and Technology
PhD, Machine Learning & Data mining
January 1, 2002 – January 1, 2006
Centrale Lille
Master Research, Computer Science, Data mining
January 1, 2001 – January 1, 2002
Ecole d'Ingénieurs du Pas-de-Calais
Master of Engineering (M.Eng.), Industrial Production
January 1, 1999 – January 1, 2002
Air Liquide
International Senior Expert in Artificial Intelligence
June 1, 2022 – Present
Air Liquide
Data Science team manager
January 1, 2021 – Present
Air Liquide
International Expert in Artificial Intelligence
June 1, 2017 – January 1, 2021
Air Liquide
Senior Data Scientist, Machine Learning specialist
January 1, 2015 – June 1, 2018
Jouve Group
R&D Manager
November 1, 2011 – December 1, 2014
Lens
Jouve
Senior R&D Engineer, Machine Learning and Text Mining
August 1, 2006 – October 1, 2011
Lens
Big Data, Berkeley Xseries
edX
June 24, 2026 – Present
Introduction to Big Data with Apache Spark, Berkeley Xseries
edX
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Scalable Machine Learning, Berkeley Xseries
edX
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a long tenure at Air Liquide, progressing through several senior roles, which suggests loyalty and adaptability within a large organization. Their involvement in teaching activities and strategic collaborations indicates a desire for continuous learning and knowledge sharing. The breadth of their experience across different AI applications and methodologies aligns with a culture that values innovation and diverse problem-solving approaches. However, the lack of project diversity outside of Air Liquide and Jouve Group might indicate a more specialized rather than broadly adaptable profile, which could be a minor concern for cultural fit in a rapidly changing environment.
Soft Skills & Operational Fit
The candidate's experience managing a team and fostering collaborations suggests strong leadership, communication, and teamwork skills. Their commitment to ethical AI practices indicates a responsible and values-driven approach to work. The descriptions of their roles imply a proactive and innovative mindset, suitable for operational challenges.