Bio


Jooyeon Hahm holds a MS in Data Science from UC Berkeley and a PhD in History from the University of Pennsylvania. She previously served as a Postdoctoral Associate in Transnational Asian Studies at Yale University and has taught history at Wharton, Yale, and Brandeis. She interned as a software engineer at EBSCO Information Services, where she developed a pipeline using language models to identify literature reviews from scholarly articles.

As the Head of Data Science Training and Consultation, she provides support for quantitative, computational, and algorithmic analysis of research data, including aspects of data management, analysis methods, workflow reproducibility, and ethical considerations. She leads the development of resources such as workshops, tutorials, and online guides aimed at enhancing researchers' skills in applying data science methods, fostering data literacy, and ensuring the effective and ethical use of computational tools in their research. She also oversees a team of graduate student consultants who provide individual consultations.