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.
vv
Molly Ireland, Ph.D.
Senior Research Associate
Molly studies social-personality psychology (Ph.D., University of Texas at Austin ’11) using dictionary-based text analysis (especially Linguistic Inquiry and Word Count, or LIWC, and related dictionaries). She analyzes naturalistic and experimental language to understand attitudes (e.g., towards films and novels), major life changes (e.g., leaving a job, breakups), and individual differences (e.g., personality, mental health vulnerabilities). Some of her early work pioneered research on how function word coordination (language style matching, or LSM) in writing and conversation relates to behavior in close relationships. She lives in the East Bay Area and enjoys cats, fiction, dogs, and hiking.
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.
Jonas Paul Schöne, Ph.D.
Postdoctoral Research Fellow
Jonas is a computational social psychologist and an incoming CPWB postdoctoral fellow. Currently he is completing his PhD at the University of Oxford, supervised by Prof. Brian Parkinson and Prof. Amit Goldenberg from the Harvard Business School. Jonas's research focuses on how technology, such as social media and emerging large language models, can change individual and collective emotions for better or for worse. First, Jonas investigates how these technologies shape the expression and sharing of emotions and their influence on political behavior. Second, he explores how these technological advancements can be utilized to enhance well-being. Beyond academia, Jonas is passionate about soccer and has been a goalkeeper since he was 8 years old. He tries to foster a community among students and locals through sports.
Huy Vu, Ph.D.
Research Associate
Huy is currently working as a PhD candidate in Computer Science at Stony Brook University with his advisor - professor H. Andrew Schwartz in the Human Language Analysis Beings lab (HLAB). His main research interests are Machine Learning, especially Natural Language Processing and applying it into Psychology and Social Science research, which is one sweet-spot intersection between understanding machine and human. Having worked interdisciplinary with other natural and social scientists, he always believes that the more different scientific fields intersect, the more novel and exciting the findings will be.
He also loves creating art as hobbies through mediums like sketching, AR/VR (augmented and virtual reality) experiences and especially dancing.
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.
Aadesh Salecha
Machine Learning Engineer
Aadesh is a MS. Computer Science student and researcher at Stanford University, specializing in AI applications in psychology and well-being. He has experience in developing large-scale production-grade systems as a Senior Software Engineer at DraftKings.
Aadesh’s work at CPWB, focuses on deploying advanced machine learning models to enhance behavioral insights and well-being outcomes. He is working on applying cognitive science and psychometric techniques to detect the presence of human-like fallacies and biases in LLMs. Outside of work, he enjoys climbing, strength training, and hiking in the Bay Area.
Maria Javier
Research Coordinator
Maria is a research coordinator at the CPWB lab. She obtained her Bachelors degree in computer science from Columbia University School of Engineering. She currently volunteers at a crisis hotline and as a domestic violence advocate at New York Presbyterian. She has worked as an infrastructure engineer at several fintech companies. In addition to her role, Maria is also a research coordinator at NYU’s Health x Housing lab. For fun, Maria enjoys reading, horror mysteries, running, trying new restaurants, and playing with her two cats, Fred and Lilo.
Shreya Singhvi
Research Coordinator
Shreya is a research coordinator at the CPWB lab. She holds degrees in Psychology and Neurobiology from UC Berkeley and has spent the past few years working as a Product Manager at various early-stage mental health startups.
During her undergraduate studies, Shreya researched emotional recognition, empathy, and authenticity, which inspired her to investigate how positive emotionality can be nurtured and sustained. She is passionate about understanding how to live happier, more meaningful lives, with a particular focus on how technology can be used to enhance individual and collective well-being. This curiosity is fueled by her experiences in both the tech world and academia.
In her free time, Shreya enjoys adventuring in nature, knitting, and rollerskating in Golden Gate Park.
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.
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