Big Data Psychology — for the Greater Good
I am a computational social scientist in psychology. I received my PhD and did a postdoc at the University of Pennsylvania with Martin Seligman, where I co-founded the World Well-Being Project in 2011.
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. Machine-learning-based methods allow us to better understand these psychological phenomena, as well as measure their expression unobtrusively and at scale for large populations.
A key emphasis is on using these data and algorithms for good, to benefit well-being and health (not sales).
Here is a curriculum vitae (updated 11/2018).