I am currently a PhD student at Stanford Socioloy with a broad interest in social inequality, urban sociology, race and ethnicity, intergoup relations, and computational methods. I am a member of the Changing Cities Research Lab. Prior to PhD, I worked as a Research Fellow (Computational Science) at the Regulation, Evaluation, and Governance Lab (RegLab), Stanford Law School, to develop and validate computational methods to study racial disparities.

I graduated with Honors from Master of Science in Computational Analysis and Public Policy program in 2022, a joint degree between the Harris School of Public Policy and Department of Computer Science at the University of Chicago. I focus on international development policy, public health, social inequality, and machine learning methods. Prior to that, I worked as a research consultant at the World Bank for DIME and SSI where I applied spatial data science methods to support field teams in geocoding in Delhi, India and identifying vulnerable populated regions in Ukraine. I received a B.S. with Distinction in Statistics and Political Science (with a minor in Economics) from the University of Michigan - Ann Arbor in 2020, where I applied statistical methods to examine factors associated with experience of intimate partner violence.

Publication

My work has been published in Nature Scientific Data.

Research Interest

mobility, computational social science, machine learning, Asian American identity politics

Teaching Interests

As a graduate student at the University of Chicago, I have worked as a teaching assistant at Harris School of Public Policy. You can read more about the exact courses and descriptions under Teaching.