Yuyang Wang
Principal Machine Learning Scientist at Amazon Web Services (AWS)
California, United States
Summary
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Rockstar🎓
Top SchoolYuyang Wang is a Principal Machine Learning Scientist at AWS AI Labs with over a decade of experience building cloud-native AutoML and time-series forecasting solutions for Amazon Forecast, DevOps Guru, and GluonTS. He leads R&D science teams that translate theoretical advances—spanning time series analysis and random matrix theory—into production-scale forecasting and personalization systems. His background combines a PhD in Computer Science with research stints at MIT on random matrix theory and efficient inference for Gaussian process models, reflecting deep mathematical rigor alongside product-driven engineering. An active contributor to the GluonTS ecosystem, Yuyang blends academic publication impact with hands-on cloud deployment experience to ship robust, scalable ML services for millions of users.
10 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Tufts UniversityM.S. Computer Science, M.S. Computer Science at Tsinghua UniversityB.M. Management Information System, B.M. Management Information System at Beijing Information Technology Institute
English, Chinese
Github Skills (51)
pytorch10
artificial-intelligence10
python10
data-science10
image-classification10
incremental-learning10
meta-learning10
mxnet10
machine-learning10
time-series10
gluon10
mlp10
ensemble-learning10
sagemaker10
forecasting10
Programming languages (2)
Github contributions (5)
mitmath/18338
Sep 2019 - Oct 2021
Contributions:1 release, 59 commits, 5 PRs in 2 years 1 month
yuqirose/time-series-workshop
Mar 2019 - Jul 2021
Contributions:20 commits, 20 pushes in 2 years 4 months
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