L2ET Research connects AI assurance, cybersecurity, quantum information, scientific computing, physics, aerospace systems, robotics and digital trust through models, tools and disciplined research.
L2ET Research is being developed as a Swiss-based research practice for understanding complex technological and scientific systems through methods, frameworks and local tools, from frontier AI and cybersecurity to quantum information, physics, aerospace, robotics and scientific computing.
I develop L2ET Research as a research interface across AI, cybersecurity, quantum information, scientific computing, theoretical physics, aerospace systems, robotics and digital trust.
My applied research focuses on AI governance and security, agentic systems, RAG assurance, cyber resilience, DFIR evidence, post-quantum transition and frontier technology readiness.
The approach translates broad interdisciplinary questions into structured models, testable tools, research notes and practical frameworks. The common thread is disciplined reasoning under uncertainty, where state, evidence, control, observability and failure modes matter more than labels.
Contributing to the responsible advancement of artificial intelligence by supporting long-term strategy, governance and innovation initiatives, with a focus on aligning AI development with ethical, societal and technological priorities for a trustworthy AI future.
AI Governance and Cybersecurity Strategist | Agentic AI Assurance, Digital Trust, Scientific AI and Quantum-AI Readiness.
Engaged with OWASP guidance and community work across application security, AI security, LLM application risks, secure software development, API security and cloud-native security. Focused on applying these principles to secure AI adoption, agentic AI assurance, enterprise cybersecurity governance and digital trust programs in high-trust and regulated environments.
Policies do not create control; operating models do.
Retrofitting assurance is more expensive than designing for it.
Executive decisions deserve calibrated analysis, not vendor pitches.
Trust is a competitive moat in regulated markets.
Post-quantum, agentic AI, and operational resilience converge over the next decade.
The profile is organized by evidence, systems, mathematics, computation, safety and operational consequences.
Frontier AI, agents, governance, RAG security, evaluation and high-stakes release discipline.
Quantum information, quantum computing, theoretical physics, effective models and state-space reasoning.
Cybersecurity, DFIR, enterprise resilience, evidence, observability and secure architecture.
Orbital mechanics, mission assurance, control stability, autonomy and cyber-physical safety cases.
