Brandon Sepulvado is a senior data scientist in the Methodology and Quantitative Social Sciences department at NORC at the University of Chicago, where he specializes in network analysis, machine learning, and natural language processing. Sepulvado regularly leads data science efforts in science evaluation projects, and his science of science and science policy research has been supported by prestigious awards from the National Science Foundation, a Fulbright fellowship, the Government of France, and the Countway Library of Medicine (Harvard University/Boston Medical Library).
Sepulvado's work has been published in peer-reviewed journals and conference proceedings across disciplines. He currently serves as Secretary of the Washington Statistical Society, as Program Chair for the American Statistical Association’s Text Analysis Interest Group, and as a member of the South Big Data Hub’s Data Science Education & Workforce working group. In the past, he has been elected to multiple section councils of the American Sociological Association and has served as assistant editor for the American Sociological Review. Sepulvado regularly speaks around the globe on science of science, natural language processing, and network analysis.