Research
Four connected pillars, from simulation design through to empirical validation. Each gathers the papers and the software built around one line of questions.
- 01 — Adaptive Multi-Agent Systems I study populations of learning, heuristic, and deliberative agents interacting over evolving economic networks, studying how local adaptation shapes aggregate dynamics.
- Multi-Agent Systems
- Reinforcement Learning
- Graph Neural Networks
- 02 — Statistical Verification I use convergence diagnostics and statistical model checking to make simulation evidence more reliable and reproducible.
- Statistical Model Checking
- Agent-Based Modeling
- Reproducibility
- 03 — Robust Quantitative Methods I apply econometrics, robust statistics, and graph learning to systemic risk and financial decision problems.
- Econometrics
- Systemic Risk
- Economic Networks
- 04 — Text Analytics and Language Models I apply text analytics and language models to multilingual corpora, sentiment and narrative dynamics, and to systems based on retrieval and embeddings.
- NLP
- Narrative Economics
- Foundation Models