Dr. Gabriel Lipnik
AI & Algorithms Lead
Better decisions, automated.
AI & Algorithms Lead
Better decisions, automated.
If you're facing a hard decision problem and wondering whether AI or optimisation can actually help, let's find out. The interesting problems are the ones where the answer isn't obvious.
I design and build AI-driven decision systems for complex operations, from logistics to supply chain. 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 – with one goal: systems that are actually used to make decisions.
As AI & Algorithms Lead at Anexia, my work spans AI, algorithmics and optimisation across the Anexia Group and with external customers. At its core is decision engineering: building optimisation and AI systems for railway, logistics and other areas where planning decisions have real operational consequences. Beyond that, I assess AI and optimisation product ideas, develop AI & algorithmics roadmaps with customers and within the Group, bring selected initiatives from proof of concept to production, and lead funded research projects.
I teach mathematics at the University of Klagenfurt, bridging theory and practice.
AI-driven decision systems and optimisation · Explainable and trustworthy AI · AI governance and responsible deployment · ML and GenAI in operational contexts
Evaluating product ideas for innovation, scalability and economic potential · Agent architectures and GenAI from proof of concept to production · Funded research projects · AI & algorithmics roadmaps
Discrete mathematics and combinatorics · Applied optimisation (mixed-integer, linear) · Algorithmic thinking and formal modelling
Saïd Business School, University of Oxford
2025
AI governance, EU AI Act, regulatory frameworks, and responsible AI.
MIT Sloan School of Management
2025
AI strategy, organisational implementation, and business impact.
Federal President Alexander van der Bellen
2024
Highest academic honour in Austria.
Austrian Federal Ministry
2020
National award for outstanding master's thesis.
From the PyData talk into practice: Logs are only the start; what matters is whether an ML team can reconstruct a decision months later.
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AI coding agents are rapidly becoming part of the developer stack. But while the ecosystem moves fast, one question is becoming critical in regulated environments: who actually controls what these agents do at runtime?
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One of the most impactful talks I attended at Codemotion Milano 2025 showed how semantic routing, vector similarity search and semantic caching can dramatically reduce token usage, latency and energy consumption, while keeping quality and context intact.
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