Nathaniel Haines

This study uses generative models and facial expression analysis to show that negative affect enhances learning of counterfactual representations and behavioral change.

This study evaluates a Bayesian adaptive design optimization method for measuring delay discounting, showing higher reliability, precision, and efficiency compared to a conventional staircase method across three populations.

Easyml provides a unified framework for building and evaluating machine learning models in R and Python, with standardized recipes and automated reporting.

The paper introduces hBayesDM, an R package for computational modeling of reinforcement learning and decision-making tasks, enabling user-friendly Bayesian analysis and visualization.