Welcome to the Machine Learning Human Behavior lab, where we explore the intersection of human behavior, machine learning, and cognitive science to advance the next generation of AI.
Our research focuses on understanding how humans think and act, using machine learning to model and predict behavior in real-world contexts and controlled experimental settings. By drawing inspiration from cognitive science, we aim to design AI architectures that mimic human-like learning and problem-solving. At the same time, we leverage AI tools to gain deeper insights into the complexities of human cognition and behavior. Our interdisciplinary approach merges data-driven methodologies with theoretical models, driving forward innovation in AI and cognitive (neuro)science.
