|Andreu Casas is a Moore-Sloan Research Fellow at SMaPP and the Center for Data Science at New York University. His research interests encompass the areas of political communication, public policy processes, and computational social science. He is particularly interested in how social movements and interest groups influence the political agenda and the decision making process in the current media environment. His methodological interests and strengths are natural language processing (text as data), computer vision (images as data), and machine learning and artificial intelligence in general. His research has been published in the Annual Review of Political Science, American Politics Research, and Revista Espanola de Investigaciones Sociologicas.
|Gregory Eady is a post-doctoral fellow at SMaPP. His primary interests lie in the development of statistical methods for the measurement of political attitudes and behaviors, and their application to large-scale social media and elections data.
Data Scientists and Research Engineers
|Leon Yin builds human-centric tools to explore data. He is interested in employing state-of-the-art computer vision and NLP techniques to study media manipulation. Currently he’s working on search engines, mis/disinformation campaigns, and astroturfing. Previously he built data pipelines for Sony and NASA. For more PII, click here!
|Nicole Baram is a data scientist and research engineer at SMaPP. She is especially interested in how privacy functions in the Age of the Internet. Previously, she worked as a software engineer for The New York Times.