Junlin Wang

Research at Duke University

Durham, North Carolina, United States
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Summary

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Rockstar
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Top School
Junlin Wang is a PhD candidate in Computer Science at Duke University with 11 years of industry and research experience focused on NLP, particularly QA, retrieval, text generation, interpretability, and robustness. He has applied his research in internships at Together AI, AWS, Intel, Tencent, and Comcast and contributed to open-source explainability work (co-author on an EMNLP demo award-winning AllenNLP Interpret paper). His background includes building open-domain QA systems, designing adversarial attacks against NLP models, and experimenting with GNNs for large-scale payment data, showing a blend of theoretical rigor and production-minded engineering. Based in Durham, NC, Junlin brings deep academic training and practical deployment experience to challenges at the intersection of research and applied ML.
code11 years of coding experience
bookHigh School, High School at Dwight-Englewood School
bookDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Duke University
bookUniversity of California, Irvine
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Github Skills (36)

python9
tree-search9
leaderboard9
nlp8
deep-learning8
natural-language-processing8
gpu8
machine-learning8
allennlp8
pytorch8
data-science7
maestro7
sampling7
numpy7
foundation-models7

Programming languages (7)

TypeScriptJavaScriptGame Maker LanguageHTMLJupyter NotebookPythonEmacs Lisp

Github contributions (5)

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ucinlp/facade

Oct 2019 - Mar 2021

Contributions:74 commits, 2 pushes in 1 year 4 months
my portfolio of projects
Contributions:3 PRs, 33 pushes, 3 branches in 6 years 10 months
javascript
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