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Rebecca Gelles

wikipedia

knowledge bases

multi-label classification

taxonomy construction

human-computer interaction

zero-shot classification

societal impact of ai

science of science

ai and jobs/labor

fields of study

2

presentations

SHORT BIO

Rebecca Gelles is a Data Scientist at Georgetown's Center for Security and Emerging Technology. Her work at CSET has included data scraping and extraction, ingest, enhancement, and analysis, information extraction and classification, entity resolution, weak labeling, topic modeling, and cluster analysis, among other areas. Previously, she spent almost seven years in government, where worked on topics ranging from cryptography to data science to natural language processing to high performance computing. Rebecca holds a B.A. in Computer Science and Linguistics from Carleton College and an M.S. in Computer Science from University of Maryland College Park, where her research focused on how the media influences users' computer security postures and on artificial intelligence techniques for defending IoT devices from cyber attacks.

Presentations

Multi-Label Field Classification for Scientific Documents using Expert and Crowd-sourced Knowledge

Rebecca Gelles and 1 other author

Resource Democratization: Is Compute the Binding Constraint on AI Research?

Rebecca Gelles and 3 other authors

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