I am a behavioral data scientist and a PhD candidate in Political Science at UC Berkeley. I am also a data science fellow for the Data-intensive Social Sciences Lab (D-Lab), a data science education program fellow at UC Berkeley, and a co-organizer for the upcoming Summer Institute in Computational Social Science in the San Francisco Bay Area.
I use behavioral science, statistics, and data science tools to study how people think and behave with a focus on diversity and inclusion issues. Specifically, my research has focused on two questions: first, how minority group members experience racial bias (measurement) and second, how that affects the ways in which these people form political identities, attitudes, and behavior (evaluation). My award-winning dissertation applies computational, statistical, and qualitative methods to understand what unites racial minority groups in the United States. My most recent research interest is narrowing the gap between the ethics and practice of using machine learning.
I am a proud recipient of the Outstanding Graduate Student Instructor Award. I’ve taught computational social science at the graduate level as a lead instructor. I am passionate about making data science accessible.
- My paper on minority coalition building in San Francisco, Seattle, and Vancouver was accepted at Studies in American Political Development (January 29, 2020).
- I updated my original data on Asian American and Latino community-based and advocacy oranizations. The new data includes funding information on these oranizations coming from 1,575 philanthropic foundations and federal agencies (January 22, 2020).
- I gave two talks at the Text Analysis across Domains Conference, the premier text-focused data science conference at UC Berkeley (December 5, 2019).
- My paper on machine learning analysis of ethnic newspaper articles was selected to receive the Don T. Nakanishi Award for Distinguished Scholarship in Asian Pacific American Politics at the upcoming Western Political Science Association annual meeting (September 24, 2019).