I am a sixth-year Ph.D. candidate in Sociology at the University of California, Berkeley, and a Senior Data Science Fellow at the Social Sciences Data Lab (D-Lab). Previously, I held a fellowship with the National Institutes of Health in the Department of Demography at UC Berkeley, supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development.

I earned my Bachelor of Science in Sociology from the University of South Carolina, where I received training in quantitative methodology. During my time there, I co-authored an article with Drs. Carla Pfeffer and Jennifer Augustine on the time same-sex couples with children spend on health- and well-being-related activities.

As an economic sociologist in training, I am broadly interested in market politics, market building, and the use of machine learning (ML) and artificial intelligence (AI) in economic action. More specifically, I am curious about the strategies market actors use to reduce uncertainty in transactions. I employ nationally representative data, causal inference, and computational methods to investigate these topics.

I have spent much of my graduate career developing statistical and computational skills. In 2020, I contributed to the CenSoc project at UC Berkeley's Department of Demography, which involved linking the 1940 Census to Social Security Administration files. I have also mentored students within the Cal-ADAR program, guiding them in using R and data science for quantitative social science research, and have taught data science courses—covering machine learning, artificial intelligence, and ethics—through the Advanced Talent Development Program (ATDP), both domestically and internationally.

In 2024, I received the Outstanding Graduate Student Instructor Award in the Department of Sociology.