Wei Deng
Machine Learning Researcher at Morgan Stanley
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolWei 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.
10 years of coding experience
3 years of employment as a software developer
BS Information and Computing Science, BS Information and Computing Science at Beijing Jiaotong UniversityPh.D. in Machiner Learning, Ph.D. in Machiner Learning at Purdue University
English, Chinese
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (50)
stock10
genetic-algorithm10
predict10
sampling10
sentiment-analysis10
stock-price10
nlp10
probabilistic-programming9
linear-regression9
machine-learning9
natural-language-processing9
bayesian-inference9
arxiv9
deep-reinforcement-learning8
python8
Programming languages (3)
Github contributions (5)
WayneDW/Parallel-Solvers-for-Linear-System
Mar 2016 - Oct 2019
Contributions:42 commits, 28 pushes, 1 branch in 3 years 7 months
WayneDW/More-than-Algorithms
Jul 2016 - Aug 2022
Contributions:914 commits, 855 pushes, 1 branch in 6 years 2 months
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