With a PhD in Machine Learning and extensive enterprise experience, I specialize in AI Act compliance and governance frameworks, bridging deep technical expertise with practical implementation.
Schedule a ConsultationBridging technical proficiency with governance expertise to help organizations implement robust and compliant AI systems
PhD-level expertise in machine learning with deep specialization in generative AI and large language models, enabling comprehensive understanding of modern AI architectures and their implications.
Extensive experience in developing and implementing enterprise-wide AI governance frameworks, with particular focus on EU AI Act compliance.
Pioneering the implementation of responsible AI practices through research, industry collaboration, and regulatory compliance.
Led Volkswagen Group's comprehensive EU AI Act compliance program, establishing industry-leading frameworks and best practices for enterprise-wide AI governance.
As a core researcher at the AI, Algorithmic, and Automation Incidents and Controversies (AIAAIC) initiative, I have contributed to developing a user-centered taxonomy of AI-related harms to help the public and organizations understand and address the negative impacts of AI systems.
As a co-founder and manager of the Ethical and Trustworthy Artificial and Machine Intelligence (etami) consortium, I have been pivotal in uniting leading multinational companies and academic institutions to translate ethical AI principles into actionable guidelines and promote ethical AI development.
From advancing machine learning research in physics to shaping enterprise AI governance
Leading the development and implementation of enterprise-wide AI governance initiatives, with focus on EU AI Act compliance and foundation model governance.
Bridged technical expertise with ethical considerations to develop practical frameworks for responsible AI deployment.
Advanced research in generative AI and reinforcement learning, contributing to both academic discourse and practical applications.
Research at CNRS and University of Paris-Saclay, focusing on reinforcement learning applications in particle physics experiments.