Rethinking Economics in the Age of AI
We combine mechanism design, computational modelling, and empirical analysis to study complex economic and financial systems, with applications to quantum-inspired finance, blockchain networks, decentralized markets, and AI-agent behaviour.
Markets are not deterministic systems. They are probabilistic environments shaped by information, interaction, and observation.
Quantum Economics studies economic systems through the lens of uncertainty, probability, and computation.
Mathematical Modeling
Structured models describing economic systems beyond traditional equilibrium frameworks.
Quantitative Analysis
Large-scale data and computational methods enable empirical validation and discovery.
Computational Intelligence
Artificial intelligence extends analytical capacity for modeling, simulation, and inference.
Research Domains
Explore AI Lab →Quantum Finance
Applying quantum probability to asset pricing and portfolio theory.
02AI Economics
Machine intelligence applied to economic research and the financial behaviour of AI agents.
03Blockchain Networks
Structural signals and behavioural patterns extracted from on-chain transaction data.
04Decentralized Finance
Liquidity, mechanism design, and risk in protocol-governed financial systems.
From the lab bench to the cap table
We are building an incubation track for early-stage teams emerging from technical research groups across the Zurich ecosystem — semiconductors, AI, and embodied robotics — offering founder mentorship and financing introductions.