Sara Rosenthal

Staff Research Scientist at IBM

New York, United States
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Summary

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Senior
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Top School
Sara Rosenthal is a Staff Research Scientist at IBM Research AI with nine years of professional experience specializing in NLP, particularly generative QA and retrieval-augmented generation. She holds a PhD from Columbia where her thesis explored automatic detection of influencers and persuasion in online discussions, and she blends that social-computational insight into healthcare decision-support and computational social science projects. An active community organizer, she has co-led numerous SemEval shared tasks since 2013 and serves as IBM’s ACL Champion, reflecting a rare combination of deep research, evaluation design, and community stewardship. At IBM she bridges applied research and production-ready NLP, bringing experience from DARPA- and IARPA-funded projects as well as industry internships at Google. Colocated in New York, she often applies discourse- and author-level modeling to real-world problems such as medical QA and misinformation detection, leveraging both classical and generative approaches.
code9 years of coding experience
job9 years of employment as a software developer
bookAAS, Computer Information Systems, AAS, Computer Information Systems at Rockland Community College
bookPhD, Computer Science, PhD, Computer Science at Columbia University in the City of New York
bookMS, Computer Science, MS, Computer Science at Columbia Engineering
bookBS, Major in Computer Science, Minor in Mathematics, BS, Major in Computer Science, Minor in Mathematics at Ramapo College of New Jersey
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Github Skills (42)

squad10
pytorch10
multilingual10
python10
evaluation10
machine-learning10
semantic-search10
datasets10
speech10
question-answering10
natural-language-processing10
research-and-development10
computer-vision10
transfer-learning10
nlp10

Programming languages (5)

ShellJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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primeqa/clapnq

Apr 2024 - Jan 2025

Contributions:3 pushes, 1 comment in 9 months
seirasto/datasets

May 2022 - Jul 2022

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Contributions:9 pushes in 2 months
pytorchmanipulationml-modelsdata-preprocessingdata-science
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