Andreas Schlapbach

AI/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 int. 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 theUniversity of Berne. More than20 publications in peer-reviewed journals and conferences, including ICPR,ICDAR, IWFHR, DAS and others.

Highly interested in formal methods, especially type theory, process calculi and computability theory in general.