Johannes C. Eichstaedt

Johannes C. Eichstaedt is an Assistant Professor of Psychology at Stanford University and the Shriram Faculty Fellow at the Institute for Human-Centered Artificial Intelligence (HAI). He leads the Computational Psychology and Well-Being Lab, focusing on leveraging large language models (LLMs) and computational methods for mental health applications. His work integrates social media analysis, NLP, and AI ethics to address public health challenges like the opioid crisis and psychological well-being monitoring.

Educations: PhD in Psychology (University of Pennsylvania, 2017), MAPP in Positive Psychology (UPenn, 2011), MS in Particle Physics (University of Chicago, 2010), BSc in Physics & Philosophy (King's College London, 2009).

Research Interests: Computational social science, psychological text analysis, AI-driven mental health interventions, and the ethical deployment of LLMs. His lab pioneered methods to measure population-level psychological states via platforms like Twitter and Reddit, enabling unobtrusive monitoring of public health trends. Recent work emphasizes safe LLM integration into therapy and policy-making.

Awards: Shriram Faculty Fellowship (Stanford HAI). His work has informed policy through spatial-temporal analyses of social disruptions and opioid mortality predictions. The lab’s READI framework provides guidelines for AI mental health deployment.

Grants & Advising: No specific grants/advising listed, but his lab actively collaborates with global institutions via the World Well-Being Project consortium. His research bridges computer science, psychology, and public health, emphasizing 'AI for good' applications.

Labs & Teams: Directs the Stanford Computational Psychology and Well-Being Lab, co-founded the World Well-Being Project (now a global big data psychology consortium). Active in developing tools like TherapyTrainer (AI-based therapist training) and PsychAdapter (personality-adaptive LLMs).