I am a PhD candidate in the Department of Information Science at Cornell University, and a member of the Culturally Embedded Computing research group.
I study how data scientists approach, organize, analyze, and visualize the world with and through data structures, computational algorithms, and statistical techniques. I am particularly interested in the oft-invisible and under-articulated forms of human work constituting data science learning, research, and practice. Instances of such work range from the conceptualization of data-driven questions and pre-processing of datasets to translating between corporate values and computational goals and the work of managing corporate data science projects.
Research Interests: Critical Data Studies, Data Science, Machine Learning, Data Science Ethics and Policy, Sociology of Algorithms, Data Visualization, and Digital Humanities.