Jifan Chen
Applied Scientist at Amazon Web Services (AWS)
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolJifan Chen is an Applied Scientist with a decade of experience bridging academic research and industry, currently at AWS after completing a Ph.D. in Computer Science at UT Austin under Prof. Greg Durrett. His work focuses on natural language processing, especially model decomposition and verification, with applied stints improving table-to-text generalization at AWS and enhancing QA robustness at Google. He brings deep expertise in making NLP models more interpretable and reliable, translating theoretical advances into practical system improvements. Trained at Fudan University and seasoned by high-impact internships, he blends rigorous research methodology with product-minded experimentation. Colleagues describe him as quietly curious—his Github motto "Stay young, stay simple" reflects a pragmatic, refreshingly minimal approach to complex problems.
10 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of Texas at AustinBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Fudan University
Chinese, English
Github Skills (35)
nlp9
gensim8
corpus8
python8
natural-language-processing8
fasttext8
topic-modeling8
pytorch8
word2vec8
data-science7
latent-dirichlet-allocation7
lda7
data-mining7
word-embeddings7
machine-learning7
Programming languages (1)
Github contributions (5)
jifan-chen/QA-Verification-Via-NLI
Sep 2021 - Nov 2022
Contributions:8 commits, 8 pushes, 1 branch in 1 year 2 months
jifan-chen/subquestions-for-fact-checking
May 2022 - Nov 2022
Contributions:6 commits, 5 pushes, 1 branch in 6 months
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