معرفی
Rebecca Carter Steorts is an Associate Professor of Statistical Science and Computer Science at Duke University, affiliated with the Trinity College of Arts & Sciences, Biostatistics and Bioinformatics, and the Social Science Research Institute. She directs research in entity resolution, Bayesian methods, and privacy-preserving data analysis with applications to human rights conflicts and healthcare.
Her research group develops scalable statistical methods for record linkage, microclustering models, and privacy-preserving data release. Current work focuses on distributed Bayesian entity resolution and inference methods for linked data.
Publications demonstrate consistent focus on entity resolution methodologies. Recent work emphasizes distributed computing frameworks, microclustering models, and applications in healthcare and conflict studies. Theoretical contributions include performance bounds and uncertainty quantification in data linkage.
- NSF CAREER Award (2017)
- Elected Fellow, International Statistical Institute (2019)
- Duke Graduate Mentoring Award (2021)
- Leonard J. Savage Thesis Award Honorable Mention (2013)
