Welcome to the Machine Learning Human Behavior lab, where we explore the intersection of machine learning, neuroscience, and cognitive science to deepen our understanding of human behavior.
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.
We are also deeply committed to fostering collaborations with the humanities and social sciences. We believe that a comprehensive understanding of human behavior requires insights from these disciplines, particularly in areas such as ethics, culture, social dynamics, and human values. By partnering with researchers in psychology, philosophy, sociology, and other fields, we aim to build AI systems that are not only intelligent but also socially aware, ethically aligned, and adaptable to the diverse contexts in which humans live and interact.
