Junlin Wang

PHD Candidate

Durham, North Carolina, United States
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Summary

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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
job4 years of employment as a software developer
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 (35)

python9
machine-learning9
tree-search9
gpu9
leaderboard9
nlp8
prompting8
deep-learning8
natural-language-processing8
evaluation7
local-search7
maestro7
pytorch7
neural-network7
sampling7

Programming languages (6)

TypeScriptGame 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
IsThatYou/allennlp

May 2019 - Feb 2021

An open-source NLP research library, built on PyTorch.
Contributions:40 commits, 9 pushes, 5 branches in 1 year 9 months
pytorchnlpbertdeep-learningmachine-learning
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Junlin Wang - PHD Candidate