Vera Danilova

Vera Danilova is a Postdoctoral Research Fellow at Uppsala University's Department of History of Science and Ideas, specializing in computational approaches to historical text analysis. Her work bridges digital humanities and natural language processing, with a focus on extracting meaningful patterns from historical periodicals and archives.

Her primary research interests include:

• Genre classification in historical magazines (1875-1990)
• Post-OCR correction using large language models
• Cross-genre transfer learning in dependency parsing
• Topic modeling for medical history periodicals
• Development of multilingual NLP resources

Recent publications reveal a strong trajectory in applying machine learning to historical document analysis, particularly in genre identification and text restoration for German and Russian periodicals. Her work frequently addresses challenges in historical OCR output and develops specialized tools like UD-MULTIGENRE for linguistic annotation.

No scientific awards were documented in the provided sources.

Information regarding academic advising, grant funding, or laboratory affiliations was not present in the available materials.