Emmanuel Müller

Emmanuel Müller is a Professor serving as Director of the RC Trustworthy Data Science and Security research center, focusing on the critical intersection of data science and security infrastructure.

His research establishes foundational frameworks for trustworthy computational systems where security and reliability are paramount. Key investigation areas include:

• Secure data lifecycle management
• Adversarial robustness in machine learning
• Formal verification of data pipelines
• Privacy-enhancing technologies
• Resilient distributed systems
• Ethical AI governance

As leader of the RC Trustworthy Data Science and Security initiative, he drives methodological innovations ensuring data-driven systems maintain integrity against evolving threats while preserving functional reliability under real-world constraints.