Bing Hu is a Principal Data and Applied Scientist Manager with 11 years of experience building AI-driven systems for complex physical and cloud infrastructures. At Microsoft he scaled teams that reduced Azure outage mitigation time by 70%, led adoption of a company-wide cloud quality metric (patented), and applied LLMs, RAG, and AI agents to intelligent cloud operations. Previously he delivered multimillion-dollar impact at GE—leading global teams to deploy predictive maintenance and supply-chain AI that saved $23.5M—and pioneered simulation-driven engine design at Cummins. Trained as a computational modeler with a PhD and postdoctoral work in high-performance nonlinear systems simulation, he blends deep scientific rigor with product-focused delivery. Known for translating physics-based intuition into deployable ML solutions, he excels at bridging research, engineering, and operations to improve reliability at scale.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Modeling/Applied Mathematics, GPA 3.9/4.0, Doctor of Philosophy - PhD, Computational Modeling/Applied Mathematics, GPA 3.9/4.0 at University of Wisconsin-Madison
Postdoctoral Scholar, High Performance Computing & Nonlinear Systems Simulation, Postdoctoral Scholar, High Performance Computing & Nonlinear Systems Simulation at Sandia National Laboratories
Bachelor's degree, Engineering, Bachelor's degree, Engineering at Tsinghua University
This repository is for active development of the Azure SDK for .NET. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/dotnet/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-net.
Contributions:12 pushes, 3 branches in 17 days
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Bing Hu - Principal Data And Applied Scientist Manager