Jing Liu is a Ph.D. candidate in Economics of Education at the Stanford Graduate School of Education. He earned his B.A. in Economics in 2011 and M.A. in Economics of Education in 2013, both from Peking University, China. His research mainly focus on using computational social science methods, especially "text as data", to measure beneficial teacher and peer practices and their effects in both K-12 and higher education classrooms. He also studies teacher labor markets, including teacher effectiveness on student non-cognitive outcomes, and teacher beliefs about student achievement gaps.