Hi! I am a PhD candidate at Helmut Schmidt University in Hamburg. My work centres on robust machine learning models for time-series data from cyber-physical systems. I study how models generalise under distribution shift, withstand sensor noise or faults and how rigorous benchmarks can reveal these weaknesses.

Beyond research, I help draft an AI-Act-aligned standard for reliable ML within a VDI/VDE working group, aiming to turn academic findings into clear industrial guidelines.

Ultimately, I want these insights to power safe AI solutions in manufacturing, maritime operations and energy systems. If you’re interested in collaborating, have questions, or simply want to chat about trustworthy AI, I’d love to connect!