Johannes C. Eichstaedt

Johannes C. Eichstaedt is an Assistant Professor of Psychology at Stanford University and a Shriram Faculty Fellow at the Institute for Human-Centered Artificial Intelligence, where he directs the Computational Psychology and Well-Being Lab. He is a computational social scientist whose work sits at the intersection of psychology, data science, and artificial intelligence. His research focuses on how large language models and natural language processing can be responsibly deployed to support mental health, psychological wellbeing, and social good. He is particularly interested in identifying the conditions under which AI systems can safely deliver psychotherapy and wellbeing interventions. Over the past decade, he has pioneered methods in psychological text analysis, using large-scale social media data to infer psychological states such as emotion, motivation, and mental health at both individual and population levels. His work enables unobtrusive measurement of psychological wellbeing without relying on traditional surveys, with applications in public health, policy evaluation, and under-resourced settings. He co-founded the World Well-Being Project at the University of Pennsylvania, now a large international consortium in big data psychology, and continues to advance interdisciplinary approaches to understanding how language reflects and shapes human wellbeing.