How We Study It
Our interdisciplinary research integrates methods from cognitive, computational, neural, social, and clinical sciences.
We combine rigorous experimentation with open science practice
to generate reproducible, impactful findings.
Behavioral and Pain Experiments
Computational Modeling
Neuroimaging
We develop experiments to study belief formation, updating, and placebo effects—both in large-scale online platforms and controlled laboratory settings. Many of our studies focus on experimental pain paradigms to investigate expectation effects on perception and behavior.
We use Bayesian modeling, belief system simulations, predictive processing frameworks, and reinforcement learning to formalize how beliefs are formed and changed. These models allow us to generate quantitative, testable predictions about belief dynamics and placebo mechanisms.
We use neuroimaging, particularly fMRI, to study the neural mechanisms of beliefs, expectations, and placebo effects. This includes studying validated brain-based neuromarkers, a priori regions of interest, whole brain analyses, and more.
Large-Scale Collaborations and Open Science
Translational and Real-World Applications
Our lab leads and participates in multi-lab collaborations (“big team science”) to strengthen the credibility of psychological and neuroscience research. We prioritize preregistration, open data and code, and multiverse analysis to ensure transparency and reproducibility. We actively engage in public science communication to promote open, rigorous, and impactful science beyond academia.
Our research aims to go beyond theory. We aim to develop practical tools and interventions that apply belief science to real-world contexts. This includes clinical applications, such as placebo-based interventions to improve treatment outcomes, but also extends to areas like health communication, belief and behavior change, and addressing belief polarization in society.