asc.engineering

Andreas Schlapbach

PhD

AI/ML Initiative Lead & Enterprise Architect

Enterprise ArchitectAI/ML SystemsOpen Source

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 and standardization efforts in trip planning and distribution at SBB's Passenger Division.

Active contributor to the open-source ecosystem, e.g. contributor to MCP working groups. 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.

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

Recent Research Under Review

The Convergence of SGD and MCP: A New Paradigm for Agentic Interoperability, 2026. EMNLP 2026PDF

Co-linearity and Cluster Stability in Transport Economics: Evidence from Aviation and Rail, 2026. Transportation Research Part BPDF

Muri bei Bern, Switzerland
Andreas Schlapbach