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I am a computational social scientist in psychology, and currently an Assistant Professor in Psychology at Stanford, and a Junior Fellow at the Institute for Human-Centered Artificial Intelligence. I run the Digital Health and Psychology (DHAP) lab at Stanford. I received my PhD and did a postdoc at the University of Pennsylvania. In 2011, I co-founded a big data psychology lab, the World Well-Being Project.I use Facebook and Twitter to measure the psychological states of large populations and individuals, to determine the thoughts, emotions and behaviors that drive illness, depression or support well-being. AI-based methods allow us to better understand these psychological phenomena, as well as measure their expression unobtrusively and at scale for large populations. This is especially relevant for the measurement of subjective well-being for populations around the world—in places where no traditional measures are available with sufficient spatial and temporal resolution for public policy. A key emphasis is on using these data and algorithms for good, to benefit well-being and health.
I use large-scale language analyses and machine learning to characterize disease risk, measure subjective well-being and mental health of populations, and enrich and test psychological theory. I focus on applications of these methods that inform public health and public policy, and to create health systems that are more responsive to mental illness.