Wei Deng

Machine Learning Researcher at Morgan Stanley

New Jersey, United States
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Summary

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Senior
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Top School
Wei Deng is a Machine Learning Researcher with a decade of experience building production-ready AI systems, currently researching diffusion language models and market simulators at Morgan Stanley. He blends research rigor from his PhD training with hands-on engineering skills honed at Baidu, where he scaled distributed data pipelines using Hadoop and MapReduce. Focused on LLM engineering and autonomous agent design, he works at the intersection of quantitative finance and generative modeling, applying deep hedging concepts to realistic market simulations. Based in New Jersey, he maintains an active personal site and a practical research-first approach that favors deployable prototypes over purely theoretical work.
code10 years of coding experience
job3 years of employment as a software developer
bookBachelor of Science, Information and Computing Science, Bachelor of Science, Information and Computing Science at Beijing Jiaotong University
bookDoctor of Philosophy, Doctor of Philosophy at Purdue University
languagesEnglish, Chinese
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Github Skills (52)

stock-price-prediction10
genetic-algorithm10
sentiment-analysis10
derivative10
natural-language-processing10
backpropagation10
bayesian-inference10
probabilistic-programming9
algorithms9
python9
linear-regression9
differentiation9
bayesian9
automatic-differentiation9
numpy-arrays9

Programming languages (4)

CTeXJupyter NotebookPython

Github contributions (5)

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Contributions:42 commits, 28 pushes, 1 branch in 3 years 7 months
Use NLP to predict stock price movement associated with news
Contributions:306 commits, 1 PR, 264 pushes in 2 years 5 months
natural-language-processingsentiment-analysisstock-price-prediction
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