Quantum Economics AI Lab
Research at the intersection of economics, artificial intelligence, and quantum-inspired mathematical formalism.
Price is not a fixed value.
Before a transaction occurs, market prices exist as a probability distribution.
A trade acts as a measurement collapsing uncertainty into an observed price.
Probabilistic Inference
Bayesian and variational inference engines for real-time estimation of latent economic states from heterogeneous data streams.
Deep Sequence Models
Transformer and state-space architectures trained on multi-decade macro-financial panel data for regime classification and forecasting.
Natural Language Processing
Large-scale semantic extraction from central bank communications, earnings calls, and economic news to quantify textual policy signals.
Causal AI
Structural causal models and counterfactual inference methods for policy evaluation and intervention analysis.
Reinforcement Learning
Multi-agent RL environments simulating market interaction, enabling discovery of emergent equilibria under bounded rationality.
Graph Neural Networks
Network-based learning over financial interconnectedness graphs for systemic risk propagation modeling.
We collaborate with institutions and technical teams working at the intersection of economics, artificial intelligence, and financial systems.
Our work spans theoretical modeling, data-driven research, and applied financial analysis.
Get in TouchWe work with students interested in economic modeling, artificial intelligence, and financial systems.
We primarily work with students based in Zurich, while also supporting a limited number of students globally each year. Outstanding students may continue working with us as research fellows.
Our research environment is closely connected to the Zurich academic ecosystem.
Students who have worked with us, in collaboration with SciEcon, have gone on to:
We also support external PhD researchers working on related topics.