Professional Profile
With over 15 years of experience as an AI practitioner, my work is rooted in deep technical
research, from foundational reinforcement learning to the development of generative models. At
Volkswagen Group, I applied this background to build the company's first enterprise-wide AI
governance system and implement full compliance with the EU AI Act a year ahead of schedule.
Today, I remain deeply engaged with the technical frontier, focusing on LLM architectures and
multi-agent systems. To ground this work in real-world outcomes, I am an active contributor to the
AI Incident Database (AIAAIC), where I analyze system failures to help inform safer development.
This work is central to my approach: evaluating emerging technologies through a dual lens of
technical feasibility and ethical responsibility.
Beyond my corporate and research roles, I am passionate about fostering the next generation of
talent. This commitment drives my work as a data science teacher and my active involvement in
organizing and lecturing at machine learning summer schools across the Global South.
Areas of Expertise
Reinforcement Learning (15 years)
- PhD thesis with applications to high-energy physics
- Multiple publications (ISRR, IROS, ICML)
- Led specialized RL research team at VW Group
- Lectured at ML summer schools across 2018-2019
Generative AI (7 years)
- Developed generative models for theatrical production
- Published novel approaches to creative AI
- Developed POCs for agentic-LLM applications
AI Ethics & Governance (6 years)
- Co-founded & managed ETAMI EU consortium
- Published in FAccT and AIES
- Developed and implemented the company's first compliance methodologies for the EU AI Act
- Active contributor to the AI Incidents Database
Selected Publications
Speaking
Additional Experience & Service
Education
PhD in Machine Learning
University of Paris-Saclay
2010 - 2014