I am a PhD student and NSF Graduate Research Fellow in Sociology, co-advised by Professors Jackelyn Hwang and David Grusky. My research uses data science to study how socioeconomic inequality is experienced in everyday urban life. I apply computational and machine learning techniques to study inequality with two different methodologies. The first uses mobile device GPS data to measure economic segregation as experienced through daily activity patterns. My approach captures lived experiences of segregation by analyzing were people go and whom they encounter. My second methodology applies computer vision methods to Google Street View imagery to identify indicators of investment and inequality in the built environment. I hold a M.A. in Sociology from Stanford University and a B.A. in Development Studies and East Asian studies from Brown University. Prior to starting my PhD, I worked as a research program manager with the Stanford Center on China's Economy and Institution's studying the effects of community health interventions on early human capital formation in rural China.