Shaden Shaar

PhD Candidate

City of Ithaca, New York, United States
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Summary

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Senior
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Top School
Shaden Shaar is a PhD candidate in Computer Science at Cornell University with nine years of research and applied ML experience spanning NLP, computer vision, and long-document understanding. She has contributed to academic publications and built practical systems—from lane detection and classifier evaluation algorithms during her undergraduate research to fact-checking, propaganda detection, and emotion recognition for low-resource languages at Qatar Computing Research Institute. More recently she has worked on synthetic data for Siri at Apple and on AI solutions for governments while at Scale AI and Zillow, blending research rigor with production-minded engineering. Her PhD work under Prof. Claire Cardie focuses on narrative long-document summarization and multi-document/text-speech understanding, with a particular interest in medical and low-resource language applications. Less obvious: she has a track record of turning theoretically grounded methods (active testing, active learning) into deployable demos and shared tasks, demonstrating both algorithmic depth and impact-oriented delivery.
code9 years of coding experience
job3 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Cornell University
bookBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Carnegie Mellon University
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Github Skills (6)

data-format9
checker9
pii8
fact-checking6
pytorch4
faster-rcnn3

Programming languages (2)

CSSPython

Github contributions (5)

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Contains data, format checker, scorer and baselines for the CLEF2020-CheckThat! Task 1.
Contributions:30 commits, 44 pushes, 1 branch in 5 months
baselinesdata-formatscorerchecker
Contains data, format checker, scorer and baselines for the CLEF2020-CheckThat! Task 5.
Contributions:17 commits, 38 pushes, 1 branch in 5 months
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Shaden Shaar - PhD Candidate