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Rachael T. Sexton (Fed)

Research Scientist

Rachael Sexton is a mechanical engineer in the Information Modeling and Testing Group at the Engineering Laboratory in the National Institute for Standards and Technology.
 
She was the project lead for the Knowledge Extraction & Application (KEA) Project, and a co-founder of the Technical Language Processing Community of Interest.
 
She researches the use of text analysis and network science for human-centric knowledge management in technical/domain-heavy situations. Her other research interests include design optimization, network analysis, research operations, and human-systems-integration.

Awards

2021 - DoC Bronze Medal (Nestor - annotation tool development)

2021 - DoC Bronze Medal (CORD19 data normalization effort - NIST Covid19 response)

 

Publications

An Infrastructure for Curating, Querying, and Augmenting Document Data: COVID-19 Case Study

Author(s)
Eswaran Subrahmanian, Guillaume Sousa Amaral, Talapady N. Bhat, Mary C. Brady, Kevin G. Brady, Jacob Collard, Sarra Chouder, Philippe Dessauw, Alden A. Dima, John T. Elliott, Walid Keyrouz, Nicolas Lelouche, Benjamin Long, Rachael Sexton, Ram D. Sriram
With the advent of the COVID-19 pandemic, there was the hope that data science approaches could help discover means for understanding, mitigating, and treating
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Data and Software Publications

COVID-19 Configurable Data Curation System (COVID-19 CDCS)

Author(s)
Kevin Brady, Mary Brady, Alden Dima, Philippe Dessauw, Guillaume Sousa Amaral, Benjamin Long, Rachael Sexton, Talapady N. Bhat
The COVID-19 CDCS represents a metadata repository that provides a catalog of COVID-19 related research literature and data.
Created May 31, 2018, Updated January 30, 2025
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