Christine Roughan
CDH/MARBAS Postdoctoral Research Associate
Ph.D., Ancient World, New York University
B.A., Classics & Minor in Physics, College of the Holy Cross
- croughan@princeton.edu
- B-9H-6 Firestone Library
Christine Roughan is a Postdoctoral Research Associate at the Center for Digital Humanities and Manuscript, Rare Book and Archive Studies.
Christine earned her Ph.D. in the Ancient World from New York University in January 2023, where her doctoral work explored a premodern astronomical curriculum and its continued use in Greek and Arabic between the second and thirteenth centuries CE (with some influences also on scholarly activities in Syriac, Latin, Hebrew, and Persian). Christine's research applies computational approaches to the study of manuscript transmissions in the Mediterranean world, particularly of mathematical and scientific works.
During her postdoctoral term at Princeton, Christine is training document segmentation and automated text recognition models to handle the complex layouts of scientific works in digitized manuscripts, paying particular attention to paratextual material. She is involved in building institutional infrastructure to support research with handwritten text recognition (HTR) through the Princeton Open HTR Initiative and the HTR2HPC project. Christine is also a co-organizer of the Source Codes of the Past workshop (launching an international HTR network for manuscript analysis) and serves as a group organizer and instructor for the Vienna HTR Winter School (2024, 2025) hosted by the Institute for Medieval Research of the Austrian Academy of Sciences.
Her other research and teaching in the digital humanities includes relational and graph database design, data visualization, natural language processing, computer vision, and machine learning. For more on her work, visit cmroughan.github.io/.
Related projects
Modeling Culture: New Humanities Practices in the Age of AI
A year-long seminar for faculty and grads with a public lecture series, culminating in a comprehensive and accessible curriculum for advanced humanities researchers.
Segmenting Paratextual Material in Arabic Scientific Manuscripts
Computational methods for classifying and analyzing visual aspects of the manuscript folio
Princeton Open HTR Initiative
Establishing research infrastructures to support Princeton use of HTR for manuscripts and archival documents in a variety of languages and scripts
Related events
SCOOP: Source Codes of the Past: Launching an international ATR/HTR Network for Manuscript Analysis
Evaluating Augmented Training Data for Complex Document Layouts: the Case of Arabic Scientific Manuscripts at DH2024