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Rebecca Carter Steorts

Associate Professor of Statistical Science
Statistical Science

Overview


You can find more information about my research group and work at:

https://resteorts.github.io/

Recent papers of mine can be found at 

https://arxiv.org/search/?query=steorts&searchtype=all&source=header

Current Appointments & Affiliations


Associate Professor of Statistical Science · 2022 - Present Statistical Science, Trinity College of Arts & Sciences
Associate Professor of Computer Science · 2022 - Present Computer Science, Trinity College of Arts & Sciences

In the News


Published October 30, 2018
Cracking the Code on Credit Cards at Datathon 2018
Published September 17, 2018
Making Sense of Syria's Murky Death Toll
Published March 16, 2016
New Collaborative Seed Grant Program Gives Eight Awards

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Recent Publications


Minimal Impact of Implemented Early Warning Score and Best Practice Alert for Patient Deterioration.

Journal Article Crit Care Med · January 2019 OBJECTIVES: Previous studies have looked at National Early Warning Score performance in predicting in-hospital deterioration and death, but data are lacking with respect to patient outcomes following implementation of National Early Warning Score. We sough ... Full text Link to item Cite

Unique entity estimation with application to the syrian conflict

Journal Article Annals of Applied Statistics · June 1, 2018 Entity resolution identifies and removes duplicate entities in large, noisy databases and has grown in both usage and new developments as a result of increased data availability. Nevertheless, entity resolution has tradeoffs regarding assumptions of the da ... Full text Cite

Generalized bayesian record linkage and regression with exact error propagation

Conference Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · January 1, 2018 Record linkage (de-duplication or entity resolution) is the process of merging noisy databases to remove duplicate entities. While record linkage removes duplicate entities from such databases, the downstream task is any inferential, predictive, or post-li ... Full text Cite
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Recent Grants


Foreign-Born Scientists and Engineers and the U.S. Workforce (FBSE)

ResearchPrincipal Investigator · Awarded by Research Triangle Institute International · 2022 - 2025

Unsupervised Detection of Bias in Record Linkage - BUDGET REVISION

FellowshipPrincipal Investigator · Awarded by Google Inc. · 2021 - 2024

HDR TRIPODS: Innovations in Data Science: Integrating Stochastic Modeling, Data Representation, and Algorithms

ResearchSenior Investigator · Awarded by National Science Foundation · 2019 - 2023

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Education, Training & Certifications


University of Florida · 2012 Ph.D.
Clemson University · 2007 M.S.
Davidson College · 2005 B.S.