Andreas Schlapbach
PhDAI/ML Initiative Lead & Enterprise Architect · SBB
More than 18 years of experience in designing, building and shipping large-scale, mission-critical distributed systems together with 25+ teams for Swiss public transportation. Currently leading AI/ML initiatives at SBB's Passenger Division — designing agentic ecosystems with MCP, introducing SDD and defining international open standards for rail distribution (OSDM).
Active contributor to the open-source ecosystem, e.g. contributor to MCP working groups (transport wg, governance wg, and others). Former KDE and WebKit core developer.
PhD in Pattern Recognition and Machine Learning (summa cum laude) from the University of Berne. More than 20 publications in peer-reviewed journals and conferences, including ICPR, ICDAR, IWFHR, DAS and others.
Recent Research
- Orthogonality and Dimensionality in Airline Cluster Analysis using PCA and Kernel PCA — arXiv:2605.7635667, accepted for presentation at S+SSPR 2026
- The Convergence of SGD and MCP: A New Paradigm for Agentic Interoperability — arXiv:2602.18764, submitted to EMNLP 2026
- Co-linearity and Cluster Stability in Transport Economics: Evidence from Aviation and Rail — submitting to Transportation Research Part B