Yuqi Kong
Applied AI And Data Scientist
Durham, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolYuqi Kong is an Applied AI and Data Scientist with a Ph.D. in Computer Science and eight years of experience bridging academic research and industry practice in Information Retrieval, NLP, and deep learning. Her work centers on richer document and corpus representations—combining topological methods, embeddings (Doc2Vec, BERT, XLNet, GPT), and lexical models like BM25—to push unsupervised and modular retrieval paradigms such as Project MANI and IRONS. At IBM and the University of Delaware she has delivered scalable solutions for large-scale and streaming corpora, improved ad-hoc retrieval via a Lucene extension, and reduced embedding dimensionality while preserving global and local structure. Comfortable in Python and Java, she also brings an uncommon mathematical perspective—algebraic topology—to semantic modeling, and has practical experience deploying ML systems from medical imaging PACS work to production IR prototypes.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, 3.84, Doctor of Philosophy (Ph.D.), Computer Science, 3.84 at University of DelawareBachelor of Science (BS), Computer Science, 3.85, Bachelor of Science (BS), Computer Science, 3.85 at Shenyang Institute of Technology
English, Chinese
Github Skills (30)
top2vec8
sentence-transformers7
topological-data-analysis7
text-search6
topic-modeling6
projection6
dimensionality-reduction6
approximation5
manifold5
machine-learning5
word-embeddings5
uniform5
visualization5
gensim5
natural-language-processing4
Programming languages (2)
Github contributions (5)
kongyq/Project-Mani
Feb 2018 - May 2019
Contributions:9 commits, 2 pushes in 1 year 3 months
kongyq/Project-Arcs
May 2020 - Oct 2020
Contributions:14 pushes, 1 branch in 5 months
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