Our Team
Johannes Eichstaedt, Ph.D.
Assistant Professor of Psychology
Shriram Faculty Fellow, Institute for Human-Centered A.I.
Johannes C. Eichstaedt is a computational social scientist. He is jointly appointed as the Ram and Vijay Shriram HAI Faculty Fellow, and an Assistant Professor (Research) in the Psychology Department. Johannes obtained his Ph.D. in Psychology and has been a Senior Research Associate at the Positive Psychology Center at the University of Pennsylvania. In 2011 he co-founded and led the World Well-Being Project, bringing together computer scientists and psychologists, which has since attracted $3.9m in funding. Before joining the social sciences, Johannes did research in particle physics with an M.S. from the University of Chicago. In 2014, he was elected an Emerging Leader in Science & Society by the American Association for Advancement of Science (AAAS). In his non-academic time, he practices Tai Chi and goes on long-distance hikes.
Shashanka Subrahmanya
Ph.D. Student
Shashanka Subrahmanya is a data scientist, with a focus on machine learning. He serves as part of the Academic Staff (Research) at the Stanford HAI. He researches at the intersection of Natural Language Processing and Machine Learning. Earlier, he obtained his Master's degree in Computer Science from the University of Southern California. He is also experienced in software development and compiler optimization. His hobbies include reading manga, watching anime, and hiking.
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Elizabeth Stade, Ph.D.
Research Scientist
Elizabeth (Betsy) is a computational clinical psychologist and research scientist in the Computational Psychology and Well-Being lab. Betsy studies how AI and large language models can be used for psychological assessment and treatment. She also uses natural language processing to measure and understand psychopathology, like depression and anxiety. Betsy did her graduate work at the University of Pennsylvania and her clinical residency at the VA Palo Alto Health Care System, and is a licensed clinical psychologist in California. For fun, Betsy enjoys baking, cooking, running, and hiking.
Clare Beatty, Ph.D.
Postdoctoral Research Fellow
Clare is a postdoctoral fellow in the Computational Psychology and Well-Being Lab. Her research examines how large language models and digital technologies can be used to improve and scale access to evidence-based mental health care — and how to ensure those tools are safe for the people who use them. She completed her Ph.D. in Clinical Psychology at Stony Brook University, where she studied neurobiological risk for psychopathology, dimensional models of psychopathology, and the development of digital mental health interventions. Clare is also a clinician and completed her clinical residency at Weill Cornell Medicine/NewYork-Presbyterian Hospital, where she specialized in evidence-based treatment for OCD, anxiety, and related disorders. Outside of research, she enjoys baking, making floral arrangements, and trying new coffee spots.
Samuel Campione
Data Scientist
Samuel is a data scientist focused on advancing AI and computational methods for studying human behavior and health. His long-standing research interests lie at the intersection of psychology, computer science, and biology, with a particular focus on psychopathology and individual differences. He earned a Master's degree in Data Science at the University of San Francisco and a Bachelor’s in Psychology at the University of California, Davis, where his research in personality, linguistics, and quantitative methods began. Samuel has contributed to AI-driven biomedical research at the Buck Institute and is an affiliate of the Data Institute at the University of San Francisco, where he researches multimodal AI and topological deep learning. Outside of his research, Samuel enjoys cycling, watching The X-Files, studying languages, and exploring SF with friends.
Shreya Singhvi
Lab Manager & Clinical Research Coordinator
Shreya is the lab manager and a clinical research coordinator at the CPWB lab. Her research focuses on developing AI-driven interventions to enhance the accessibility, fidelity, and efficacy of mental health treatments. She holds dual degrees in Neurobiology and Psychology from UC Berkeley, where she conducted research on emotion recognition, empathy, and authenticity. Prior to Stanford, she worked as a product manager at several mental health technology startups. Her interests lie at the intersection of clinical psychology, technology, and well-being.
In her free time, Shreya enjoys adventuring in nature, knitting, and practicing yoga.
Daizy Chandar
Administrative Associate
Daizy Chandar is the Administrative Associate for the Stanford Computational Psychology and Well-Being Lab and the Stanford Institute for Human-Centered Artificial Intelligence. Daizy has been at Stanford University for over four years. When not at work, she can be found practicing yoga or working in her garden.
Eric Martz
Clinical Research Coordinator
Eric is a clinical research coordinator for the CREATE Center for Advancing Therapy with AI. He completed his undergraduate and master's degrees at Stanford, where he studied computer science and psychology, and he plans to eventually pursue doctoral training in clinical psychology. His research investigates the effects of turning to large language models for mental health support, particularly on social connectedness, and how digital tools might instead strengthen in-person care by training clinicians in evidence-based treatments and connecting people to them. In his free time, he enjoys going to the movies, reading, and getting ice cream with friends.
Past Collaborators:
Christopher Kelly
Postdoctoral Scholar
Zoe Tait
Chief Research Assistant
Megan Reynolds
Research Coordinator
Tiffany Hsu
Psychology Ph.D. Candidate
Luke Dziurzynski
Senior Data Scientist
Shrinidhi Kowshika Lakshmikanth
Data Scientist / Engineer
Ranjeshni Sharma
Operations Administrator