Dr. Gabriel Lipnik

I build AI systems that make logistics and supply chain operations measurably smarter. Where wrong decisions are expensive and right ones are hard to compute.

My background combines a doctorate in technical mathematics from TU Graz (awarded sub auspiciis Praesidentis) with training in AI strategy (MIT Sloan) and AI governance (Oxford Saïd Business School). I work at the intersection of mathematical optimisation, agentic AI, and production engineering, where the goal is not a working prototype, but a system that actually changes how decisions get made.

At Anexia, I focus on transport and logistics domains where planning decisions have real operational consequences. I teach mathematics at the University of Klagenfurt, bridging theory and practice.