Our Team

H. Andrew Schwartz
Andy is a computational linguist focused on large and scalable language analyses for health and social sciences. Utilizing natural language processing and machine learning techniques he has discovered new behavioral and psychological factors of health and well-being as manifest through language in social media. He received his Ph.D. in Computer Science from the University of Central Florida in 2011, with research focused on acquiring lexical semantic knowledge from the Web. His recent work has been featured in WIRED and The Atlantic: Cities.
Lyle H. Ungar
Dr. Lyle Ungar is a Professor of Computer and Information Science at the University of Pennsylvania, where he also holds appointments in multiple departments in the schools of Engineering, Arts and Sciences, Medicine, and Business. Dr. Ungar received a B.S. from Stanford University and a Ph.D. from M.I.T. He has published over 200 articles and is co-inventor on eleven patents. His research areas include machine learning, data and text mining, and psychology, with a current focus on statistical natural language processing, spectral methods, and the use of social media understand the psychology of individuals and communities.
Johannes Eichstaedt
Johannes C. Eichstaedt is Marty Seligman’s PhD student at the University of Pennsylvania, where he founded the World Well-Being Project in 2011. He was elected an Emerging Leader in Science & Society by the American Association for Advancement of Science. Johannes received a B.S. in Physics & Philosophy from King’s College, London, a M.S. in Particle Physics from the University of Chicago, a Master of Applied Positive Psychology from the University of Pennsylvania, and is now in clinical psychology training in addition to his PhD research. As a computational psychologist, Johannes works on ways to measure the psychological states of large populations in space and time using social media, text mining and serious computing, to visualize them in clever new ways borrowed from Physics, and to use them to understand and predict health outcomes like heart disease and societal ills like crime.
Gregory Park
Gregory Park is postdoctoral fellow in the Department of Psychology at University of Pennsylvania. He received a B.S. in Psychology & Philosophy from Case Western Reserve University and a Ph.D. in Psychology from Vanderbilt University. Trained as a quantitative psychologist, his interests include personality, well-being, novel methods of assessment, and data visualization.
Margaret Kern, PhD
Margaret L. Kern, PhD, is a postdoctoral fellow at the Positive Psychology Center at the University of Pennsylvania. Her research incorporates a lifespan perspective, quantitative methods, and interdisciplinary collaboration to study individual and social factors that impact individual trajectories toward Positive Health and resilience.