Stanford University Libraries
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Jooyeon Hahm
Head, Data Science Training & Consultation, Center for Interdisciplinary Digital Research
BioJooyeon 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.
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Tessa Holtzman
Ph.D. Student in Sociology, admitted Autumn 2022
RDS Consultant, Center for Interdisciplinary Digital ResearchBioPersonal website: https://tessaholtzman.github.io/
Bio:
I am a PhD candidate in the sociology department at Stanford University. I study gender, family, and workplaces using primarily quantitative and computational methods, though I maintain an interest in qualitative methods. In my dissertation, I study the evolution of our cultural understanding of the relationship between work and family. In a number of collaborative projects, I study gender inequality in the workplace and in the family.