Linan Qiu
Head Of AI & Machine Learning Engineering at Bridgewater Associates
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolLinan Qiu is Head of AI & Machine Learning Engineering at Bridgewater Associates with 13 years of experience building production ML systems and leading multidisciplinary teams. He rose through engineering and management roles at Bridgewater, combining hands-on model development and platform delivery with strategic leadership of AI initiatives. Linan’s background in financial economics and computer science (Columbia University) informs a pragmatic approach to applying ML in trading and investment contexts. He actively publishes tutorials and code—his popular word2vec/doc2vec sentiment analysis notebook showcases practical, well-debugged examples for getting strong results in under 100 lines. Based in New York, he balances deep technical work with mentorship and operational rigor, and he shares insights and projects on his blog and GitHub. Colleagues describe him as an engineer who codifies intuition into reproducible pipelines that scale in high-stakes environments.
13 years of coding experience
9 years of employment as a software developer
Junior College, Junior College at Raffles InstitutionBachelor of Arts Financial Economics and Computer Science Double Major, Bachelor of Arts Financial Economics and Computer Science Double Major at Columbia University
English, Chinese, French
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (10)
sentiment-analysis10
machine-learning10
gensim10
nlp10
python10
jupyter-notebook9
word2vec6
numpy6
scikit-learn5
scikit5
Programming languages (8)
Github contributions (5)
linanqiu/word2vec-sentiments
May 2015 - Mar 2019
Tutorial for Sentiment Analysis using Doc2Vec in gensim (or "getting 87% accuracy in sentiment analysis in under 100 lines of code")
Role in this project:
Data Scientist
Data ScientistContributions:20 commits, 7 PRs, 18 pushes in 3 years 11 months
Contributions summary:Linan primarily contributed to the development and improvement of a sentiment analysis tutorial. Their work involved debugging and updating the Jupyter Notebook, focusing on integrating Doc2Vec models within a Gensim framework. The commits demonstrate the user's efforts in addressing key errors, resolving compatibility issues, and implementing training loops. The user also optimized code snippets and fixed issues related to Gensim upgrades.
nlplinesword-embeddingsdoc2vecnltk
linanqiu/linanqiu.github.io
May 2015 - Oct 2022
Contributions:73 pushes, 7 branches in 7 years 5 months
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