Biography
I hold a MS in Data Science from UC Berkeley and a PhD in History from the University of Pennsylvania. I previously served as a Postdoctoral Associate in Transnational Asian Studies at Yale University and taught history at Wharton, Yale, and Brandeis. I also worked as a Machine Learning engineer at EBSCO Information Services, where I developed a pipeline identifying literature reviews from scholarly articles.
As the Head of Data Science Training and Consultation at Stanford University Libraries, I provide support for quantitative, computational, and algorithmic analysis of research data, including aspects of data management, analysis methods, workflow reproducibility, and ethical considerations. I lead 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.