I’m currently investigating predictive mechanisms in sentence comprehension with the idea of Bayesian brains. My work explores how humans approximate probability distributions when anticipating upcoming words, especially under cognitive constraints that make exact computation impossible.

Specifically, I investigate whether our brains use sampling-based algorithms—like those in Monte Carlo methods—to generate word predictions. Using behavioural tasks, I test for systematic biases such as unpacking effects, anchoring effects, which I hope can reveal the type of sampling algorithm at play.