I build computational models of how people and groups behave — Bayesian cognitive models, decision-making models, agent-based simulations — and use applied data science — segmentation models, forecasting, LLM annotation, time series — to study behavior at scale. My work spans individual cognition, collective decision-making, and cultural evolution, with a common thread: how environmental conditions (resources, volatility) shape behavior and cognition.

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Research

Population · Cultural evolution

Romantic love in French fiction, 1500–1999

Does the rise of romantic love in fiction track changes in resource abundance?

A behavioral-ecology approach on a corpus of French novels, built using LLM annotation, bag-of-words, and time-series analysis. With Nicolas Baumard (Institut Jean Nicod, ENS/PSL).
Manuscript in preparation

Group · Collective decision-making

Quadratic voting and polarization

When the environment turns volatile, can a voting rule like quadratic voting let agents express how strongly they believe — not just which side they're on?

An agent-based model of Bayesian agents comparing plurality vs. quadratic voting under economic shocks and security crises. With Nicolas Legrand (CHC, Aarhus).
Manuscript in preparation

Talks & updates