Greg Durrett
Associate Professor
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolGreg Durrett is an Associate Professor of Computer Science at New York University, recognized for his work in natural language processing and knowledge-grounded reasoning. His research investigates the strengths and limitations of models like GPT-4 and designs modular NLP systems that leverage large language models as primitives to enhance textual understanding and reasoning. He is a 2023 Sloan Fellow and the recipient of the 2022 NSF CAREER award, underscoring his impact on AI research and mentorship. He earned his PhD in computer science from UC Berkeley (advised by Dan Klein) and a BS in CS and Mathematics from MIT, with prior roles at Semantic Machines and UT Austin before joining NYU. Durrett’s work strategically blends theory and practice to translate linguistic insights into practical, scalable AI systems.
12 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of California, BerkeleyBachelor of Science (BS), Computer Science, Mathematics, Bachelor of Science (BS), Computer Science, Mathematics at Massachusetts Institute of Technology
Github Skills (38)
parser10
coreference10
record-linkage10
epic10
coreference-resolution10
prediction10
high-performance10
entity-resolution10
auto-encoder10
entity10
named-entity-recognition9
language-processing9
scala9
machine-learning9
nlp8
Programming languages (4)
Github contributions (5)
ccied/ugforum-analysis
Jul 2017 - Jan 2019
Contributions:4 commits, 2 PRs, 2 pushes in 1 year 5 months
automated-analysispythonmarkets
gregdurrett/berkeley-entity
Oct 2014 - Dec 2019
The Berkeley Entity Resolution System jointly solves the problems of named entity recognition, coreference resolution, and entity linking with a feature-rich discriminative model.
Contributions:67 commits, 2 PRs, 46 pushes in 5 years 2 months
record-linkagenamed-entity-recognitionentity-recognitionentityfeature-rich
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