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.
9 years of coding experience
9 years of employment as a software developer
AAS, Computer Information Systems, AAS, Computer Information Systems at Rockland Community College
PhD, Computer Science, PhD, Computer Science at Columbia University in the City of New York
MS, Computer Science, MS, Computer Science at Columbia Engineering
BS, 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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